Viral_MTase_6-27-2018.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building taxonomy catalog.... [DONE]\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.append('/home/spiridon/bin/Bio_workbench')\n",
    "import finditfasta\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import rpy2\n",
    "%load_ext rpy2.ipython\n",
    "catalog=finditfasta.Catalog('/home/spiridon/Documents/projects/Viral_MT/data/catalog')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluating the Methyltransferases in all Viruses\n",
    "\n",
    "The purpose is to find all methyltransferases that exisit in both eukaryotic and prokaryotic double stranded DNA viruses.\n",
    "\n",
    "#### project folders\n",
    "- src\n",
    "- figures\n",
    "- data\n",
    "\n",
    "## Search Strategy \n",
    "We will obtain all viral sequencing data from genbank and refseq, where if there are redundancies between both data sources, we will default to refseq. Due to the differences in gene calling for defining CDS, we will translate all frames and then run the RM search pipline to find MTases and any possible cognate endonuclease."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preparing to download 0 files belonging to taxid Viruses\n",
      "Translating all frames for each fasta file..\n",
      "processing assembly: GCF_003052825     14083/14083\r"
     ]
    }
   ],
   "source": [
    "gb_dir=\"/media/spiridon/4TbWesterDigital/Viruses/\"\n",
    "fasta_dir=\"/media/spiridon/4TbWesterDigital/Viral_fastas_allframes_translated/\"\n",
    "\n",
    "assemblies=catalog.download_subtree(10239,gb_dir)\n",
    "print(\"Translating all frames for each fasta file..\")\n",
    "files=os.listdir(gb_dir)\n",
    "for i,file in enumerate(files):\n",
    "    assembly = file.split('.')[0]\n",
    "    print(\"processing assembly: \"+assembly+'     '+''.join([str(i+1),'/',str(len(files))]),end='\\r')\n",
    "    gencode=catalog.get_gencode(assembly)\n",
    "    org=finditfasta.ORG(gb_dir+file)\n",
    "    fasta=org.translate_allframes(gencode)\n",
    "    fasta.write_file(fasta_dir+assembly+'.fasta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KY322437.1_Tetraselmis_virus_1_complete_genome\n",
      "668031\n",
      "57154\n"
     ]
    }
   ],
   "source": [
    "#this part is a little hacky... I have not implemented Fasta formats into the Organsim module \n",
    "f=open('data/manually_added_genomes/Partial_NCLDV_Genomes.txt','r')\n",
    "org=finditfasta.Organism.ORG('data/manually_added_genomes/Partial_NCLDV_Genomes.txt')\n",
    "header=f.readline().strip()[1:]\n",
    "seq=f.readline().strip()\n",
    "org.locus_DNA[header]=seq.lower()\n",
    "gencode=1\n",
    "\n",
    "fasta=org.translate_allframes(gencode)\n",
    "fasta.write_file(fasta_dir+'Partial_NCLDV_Genomes.fasta')\n",
    "print(header.split()[0])\n",
    "print(len(seq))\n",
    "print(len(fasta))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Building a new DB, current time: 07/10/2018 13:59:26\n",
      "New DB name:   /tmp/Partial_NCLDV_Genomes_pv9lbrq9_BioScan_temp/BLASTdb_Partial_NCLDV_Genomes\n",
      "New DB title:  /tmp/Partial_NCLDV_Genomes_pv9lbrq9_BioScan_temp/Partial_NCLDV_Genomes.fasta\n",
      "Sequence type: Protein\n",
      "Keep MBits: T\n",
      "Maximum file size: 1000000000B\n",
      "Adding sequences from FASTA; added 57154 sequences in 1.2628 seconds.\n",
      "Analyzing: Partial_NCLDV_Genomes\n",
      "Auto formating hmmsearch results file into tab delimited csv file\n",
      "Partial_NCLDV_Genomes Complete\n",
      "########################\n",
      "\n",
      "\n",
      "runtime: 0:00:17.148723\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "python3 src/RMsearch_virus.py /media/spiridon/4TbWesterDigital/Viral_fastas_allframes_translated/ data/search_results/\n",
    "python3 src/RMsearchVirus_postprocessing.py /home/spiridon/Documents/projects/Viral_MT/data/search_results/ data/orgidvirus_RMENZcounts.postprocessing.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing assembly: GCF_003052825\r"
     ]
    }
   ],
   "source": [
    "fasta_dir_refseqonly = 'data/refseqCDS_fastas/'\n",
    "files=os.listdir(gb_dir)\n",
    "gb_dir=\"/media/spiridon/4TbWesterDigital/Viruses/\"\n",
    "for i,file in enumerate(files):\n",
    "    assembly = file.split('.')[0]\n",
    "    if assembly[0:3] == 'GCF':\n",
    "        print(\"processing assembly: \"+assembly,end='\\r')\n",
    "        org=finditfasta.ORG(gb_dir+file)\n",
    "        fasta = org.get_CDSfasta()\n",
    "        fasta.write_file(fasta_dir_refseqonly+assembly+'.fasta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "runtime: 0:00:00.600511\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "python3 src/RMsearch_virus.py data/refseqCDS_fastas/ data/search_results_refseqCDS/\n",
    "python3 src/RMsearchVirus_postprocessing.py data/search_results_refseqCDS/ data/orgidvirus_RMENZcounts_refseqCDS.postprocessing.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "python3 src/get_genomic_info.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Datasets\n",
    "\n",
    "Refseq and Genbank (redundancies removed) where all open reading frames are translated and searched with the RM pipeline\n",
    "\n",
    "Refseq only, where annotated CDS are found with RM pipeline\n",
    "\n",
    "We have resources from [Refseq NCBI mapping virus and host (taxid10239.nbr)](https://www.ncbi.nlm.nih.gov/genomes/GenomesGroup.cgi?taxid=10239&cmd=download2). Additionally, virushost curates data from Refseq and provides a nicely [formated file (virushostdb.tsv)](ftp://ftp.genome.jp/pub/db/virushostdb/virushostdb.tsv). We will first try and use virushostdb.tsv because it provides taxids that should work with our catalog. If there are a signficant number of double stranded DNA viruses that are missing in this curated dataset, we will resort to taxid10239.nbr in order extract host information (however this will be slightly more labor intensive because the provide only accessions, not taxids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#We will try and extend the virushost database\n",
    "#First, we will consolidate host data into one corrosponding taxid\n",
    "#Second, we will use the viral host data from higher tanomic ranks and distribute\n",
    "#them to lower taxonomic ranks (the subtree will inherit host data)\n",
    "#and differentiate between host data that was inherited vs\n",
    "#not inherited\n",
    "\n",
    "virushost = pd.read_csv('data/virushostdb.tsv',sep='\\t',na_filter=False)\n",
    "virushost = virushost.set_index('virus tax id')\n",
    "m=[]\n",
    "seen=set()\n",
    "for viraltaxid in set(virushost.index.values):\n",
    "    virus_dat=virushost.loc[viraltaxid,['host tax id','evidence']]\n",
    "    #processing for Dataframe\n",
    "    if isinstance(virus_dat,pd.core.frame.DataFrame):\n",
    "        hosttaxid=[]\n",
    "        #removing empty cells\n",
    "        for el in list(virus_dat['host tax id']):\n",
    "            if el:\n",
    "                hosttaxid.append(int(el))\n",
    "        if hosttaxid:\n",
    "            lca = catalog.find_LCA(hosttaxid)\n",
    "            try:\n",
    "                host_domain = catalog.get_lineage(lca).split(';')[2]\n",
    "            except IndexError:\n",
    "                host_domain=catalog.get_lineage(lca)\n",
    "            hosttaxid = ';'.join([str(x) for x in hosttaxid])\n",
    "            evidence = ';'.join(list(virus_dat['evidence']))\n",
    "        else:\n",
    "            hosttaxid = ''\n",
    "            host_domain = ''\n",
    "            evidence = ''\n",
    "    #processing for series\n",
    "    else:\n",
    "        if virus_dat['host tax id']:\n",
    "            hosttaxid = int(virus_dat['host tax id'])\n",
    "            try:\n",
    "                host_domain = catalog.get_lineage(hosttaxid).split(';')[2]\n",
    "            except IndexError:\n",
    "                host_domain=catalog.get_lineage(hosttaxid)\n",
    "            evidence = virus_dat['evidence']\n",
    "        else:\n",
    "            hosttaxid = ''\n",
    "            host_domain = ''\n",
    "            evidence = ''\n",
    "    seen.add(viraltaxid)\n",
    "    m.append([viraltaxid,hosttaxid,host_domain,evidence,'False'])\n",
    "\n",
    "inherited=[]\n",
    "for row in m:\n",
    "    taxid,host_tax,host_domain,evidence,is_inherited=row\n",
    "    subtree_taxids=catalog.get_subtree_taxids(taxid)\n",
    "    for subtax in subtree_taxids:\n",
    "        if subtax not in seen:\n",
    "            inherited.append([subtax,host_tax,host_domain,evidence,'True'])\n",
    "            seen.add(subtax)\n",
    "m.extend(inherited)\n",
    "virushost= pd.DataFrame(m)\n",
    "virushost.columns = ['viral_taxid', 'host_taxid', 'host_domain', 'evidence', 'is_inherited']\n",
    "#dropping taxids where host is ambiguous\n",
    "#virushost = virushost.loc[virushost['host_domain'].isin(['Bacteria', 'Eukaryota', 'Archaea'])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#we will now infer host_domain by finding the LCA of every subtree in \n",
    "#the viral tree of life. When a the host_domain of a subtree is all the same,\n",
    "#we will descend through the subtree and add those taxids to our virus host\n",
    "#for this to work, we will need to remove rows where host_domain !=\n",
    "#Bacteria, Eukaryota, or Archaea\n",
    "viral_taxids = set(catalog.get_subtree_taxids(10239))\n",
    "has_evidence = set(virushost['viral_taxid'])\n",
    "nohost = list(viral_taxids.difference(has_evidence))\n",
    "\n",
    "virushost_indexed=virushost.set_index('viral_taxid')\n",
    "seen = set(virushost['viral_taxid'])\n",
    "m=[]\n",
    "for taxid in nohost:\n",
    "    #have we seen it before?\n",
    "    if taxid not in seen:\n",
    "        #does it have a subtree?\n",
    "        subtree = set(catalog.get_subtree_taxids(taxid))\n",
    "        if subtree:\n",
    "            #gather all taxids with evidence\n",
    "            subtree_evidence = list(has_evidence.intersection(subtree))\n",
    "            host_domain=set(virushost_indexed.loc[subtree_evidence,'host_domain'])\n",
    "            #print(str(taxid)+'    '+str(host_domain))\n",
    "            if len(host_domain) == 1:\n",
    "                host_domain = host_domain.pop()\n",
    "                m.append([taxid,'',host_domain,'inferred_taxonomically','True'])\n",
    "                seen.add(taxid)\n",
    "                LCA = catalog.find_LCA(subtree_evidence)\n",
    "                #we will add all descendants\n",
    "                for LCA_tax in catalog.get_subtree_taxids(LCA):\n",
    "                    if LCA_tax not in seen:\n",
    "                        m.append([LCA_tax,'',host_domain,'inferred_taxonomically','True'])\n",
    "                        seen.add(LCA_tax)\n",
    "#lets concatinate the new data to virushost\n",
    "df_temp = pd.DataFrame(m)\n",
    "df_temp.columns = ['viral_taxid', 'host_taxid', 'host_domain', 'evidence', 'is_inherited']\n",
    "virushost = virushost.append(df_temp)\n",
    "virushost=virushost.set_index('viral_taxid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Process Completed\n"
     ]
    }
   ],
   "source": [
    "#collate data\n",
    "#table with the following columns:\n",
    "#assembly, CDS type (allframes or annotated),[genome info], [host info], [RMdat]\n",
    "genomedat = pd.read_csv('data/Genomesizes_Viruses.csv',sep='\\t',na_filter=False)\n",
    "genomedat = genomedat.set_index('orgid')\n",
    "\n",
    "#adding some sequence manually\n",
    "genomedat.loc['Partial_NCLDV_Genomes']=[668031,1,'',57154,'KY322437','']\n",
    "catalog.add_manual_assembly('Partial_NCLDV_Genomes',12429) #unclassified viruses\n",
    "\n",
    "RMdat = pd.read_csv('data/orgidvirus_RMENZcounts.postprocessing.csv',sep='\\t',na_filter=False)\n",
    "RMdat = RMdat.set_index('#orgid')\n",
    "\n",
    "RMdat_refseqCDS = pd.read_csv('data/orgidvirus_RMENZcounts_refseqCDS.postprocessing.csv',sep='\\t')\n",
    "RMdat_refseqCDS = RMdat_refseqCDS.set_index('#orgid')\n",
    "\n",
    "genome_columns=['bp','numcontigs','accession']\n",
    "host_columns =['host_taxid','host_domain','evidence','is_inherited']\n",
    "#we will gather data based on RMdat\n",
    "def gather(rmdf,cdstype):\n",
    "    collate=[]\n",
    "    for row in rmdf.itertuples():\n",
    "        assembly = row[0]\n",
    "        if assembly == 'Partial_NCLDV_Genomes':\n",
    "            taxid = 12429\n",
    "        else:\n",
    "            taxid = catalog.get_taxid(assembly)\n",
    "        #getting hostdat\n",
    "        try:\n",
    "            hostdat=list(virushost.loc[taxid,host_columns])\n",
    "        except KeyError:\n",
    "            hostdat = ['']*len(host_columns)\n",
    "        #gathering genome dat\n",
    "        if cdstype == 'allframes':\n",
    "            genome_stats = list(genomedat.loc[assembly,genome_columns+['numCDS_allframes']])\n",
    "        else:\n",
    "            genome_stats = list(genomedat.loc[assembly,genome_columns+['numCDS']])\n",
    "        #gather RMdat\n",
    "        RM_stats = list(row[1:])\n",
    "        collate.append([assembly,cdstype]+hostdat+genome_stats+RM_stats)\n",
    "    return(collate)\n",
    "\n",
    "viraldat = gather(RMdat,'allframes')\n",
    "viraldat.extend(gather(RMdat_refseqCDS,'refseqCDS'))\n",
    "viraldat = pd.DataFrame(viraldat)\n",
    "viraldat.columns = ['assembly','CDStype']+host_columns + genome_columns+ ['numCDS'] + list(RMdat.columns)\n",
    "viraldat['virus_RM']=viraldat['T1_RM']+viraldat['T2_RM']+viraldat['T3_RM']+viraldat['T4']+viraldat['T2G']+viraldat['pT2G']\n",
    "viraldat['virus_MTtotal']=viraldat['T1_M']+viraldat['T2_M']+viraldat['T3_M']+viraldat['T2G']+viraldat['pT2G']\n",
    "viraldat['virus_lineage'] = [catalog.get_lineage(assembly).split(';')[2] for assembly in viraldat['assembly']]\n",
    "\n",
    "#We will now filter viral data to remove rows that do not contain a host_taxid or unknown host_domain\n",
    "#viraldat['host_domain'].replace('', np.nan, inplace=True)\n",
    "#viraldat.dropna(subset=['host_domain'], inplace=True)\n",
    "viraldat.to_csv('data/viraldat.csv',sep='\\t')\n",
    "print('Process Completed')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R \n",
    "dat<-read.csv('/home/spiridon/Documents/projects/Viral_MT/data/viraldat.csv',sep='\\t')\n",
    "library(ggplot2)\n",
    "\n",
    "allframes <- dat[which(dat$CDStype=='allframes'),]\n",
    "refseq <- dat[which(dat$CDStype=='refseqCDS'),]\n",
    "\n",
    "plt1<-ggplot(allframes, aes(x=log10(bp) ,y=virus_MTtotal)) + geom_point(shape=1)+\n",
    "  facet_wrap(~ virus_lineage, ncol=3)+ \n",
    "  ggtitle(paste(c('All Frames Translated (Refseq and Genbank)    n=',nrow(allframes)), collapse = \"\"))+\n",
    "  ylab('Number of Methyltransferases per Genome') + xlab('Genome Size (log scale)')\n",
    "\n",
    "plt2<-ggplot(refseq, aes(x=log10(bp) ,y=virus_MTtotal)) + geom_point(shape=1)+\n",
    "  facet_wrap(~ virus_lineage, ncol=3)+ \n",
    "  ggtitle(paste(c('Refseq annotated CDS    n=',nrow(refseq)), collapse = \"\"))+\n",
    "  ylab('Number of Methyltransferases per Genome') + xlab('Genome Size (log scale)')\n",
    "\n",
    "\n",
    "\n",
    "plotlist = list()\n",
    "plotlist[[1]]=plt1\n",
    "plotlist[[2]]=plt2\n",
    "pdf(\"figures/MTase_allvirallineages.pdf\")\n",
    "invisible(lapply(plotlist, print))\n",
    "dev.off()\n",
    "\n",
    "print(plt1)\n",
    "print(plt2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>assembly</th>\n",
       "      <th>CDStype</th>\n",
       "      <th>host_taxid</th>\n",
       "      <th>host_domain</th>\n",
       "      <th>evidence</th>\n",
       "      <th>is_inherited</th>\n",
       "      <th>bp</th>\n",
       "      <th>numcontigs</th>\n",
       "      <th>accession</th>\n",
       "      <th>numCDS</th>\n",
       "      <th>...</th>\n",
       "      <th>orphanMTases</th>\n",
       "      <th>pEndo</th>\n",
       "      <th>pRM</th>\n",
       "      <th>T4</th>\n",
       "      <th>T2G</th>\n",
       "      <th>pT4</th>\n",
       "      <th>pT2G</th>\n",
       "      <th>virus_RM</th>\n",
       "      <th>virus_MTtotal</th>\n",
       "      <th>virus_lineage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GCA_000320725</td>\n",
       "      <td>allframes</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1193433</td>\n",
       "      <td>10</td>\n",
       "      <td>AFYC01000008;AFYC01000001;AFYC01000007;AFYC010...</td>\n",
       "      <td>155542</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GCA_000838025</td>\n",
       "      <td>allframes</td>\n",
       "      <td>29058</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>131405</td>\n",
       "      <td>1</td>\n",
       "      <td>AF271059</td>\n",
       "      <td>11999</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>GCF_000846545</td>\n",
       "      <td>allframes</td>\n",
       "      <td>1763</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>52297</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_001335</td>\n",
       "      <td>2198</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>GCA_000845685</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9606</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq, UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>159378</td>\n",
       "      <td>1</td>\n",
       "      <td>X83413</td>\n",
       "      <td>14543</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GCF_000846585</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9544</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>171096</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006146</td>\n",
       "      <td>8579</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>GCF_000846625</td>\n",
       "      <td>allframes</td>\n",
       "      <td>1582</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>39166</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_005893</td>\n",
       "      <td>3614</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>GCF_000846645</td>\n",
       "      <td>allframes</td>\n",
       "      <td>1280</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq, UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>148317</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_005880</td>\n",
       "      <td>21757</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>GCA_000869385</td>\n",
       "      <td>allframes</td>\n",
       "      <td>51655</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>134417</td>\n",
       "      <td>1</td>\n",
       "      <td>DQ457003</td>\n",
       "      <td>12199</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>GCF_000846685</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9606</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq, UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>34214</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_001454</td>\n",
       "      <td>2479</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GCA_000872585</td>\n",
       "      <td>allframes</td>\n",
       "      <td>662</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>33507</td>\n",
       "      <td>1</td>\n",
       "      <td>AB374228</td>\n",
       "      <td>2681</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>GCF_000846705</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9544</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>34246</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006144</td>\n",
       "      <td>2085</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>GCF_000846725</td>\n",
       "      <td>allframes</td>\n",
       "      <td>571</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>51601</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_005857</td>\n",
       "      <td>3728</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>GCF_000846745</td>\n",
       "      <td>allframes</td>\n",
       "      <td>85569</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>41391</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_005841</td>\n",
       "      <td>3470</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>GCA_000883175</td>\n",
       "      <td>allframes</td>\n",
       "      <td>29058</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>132425</td>\n",
       "      <td>1</td>\n",
       "      <td>AP010907</td>\n",
       "      <td>12034</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GCA_000884815</td>\n",
       "      <td>allframes</td>\n",
       "      <td>7092</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>126770</td>\n",
       "      <td>1</td>\n",
       "      <td>FJ882854</td>\n",
       "      <td>11554</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>GCF_000846805</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9606</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature, RefSeq, UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>34125</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_001460</td>\n",
       "      <td>2954</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>GCF_000846825</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9823</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>32621</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_002702</td>\n",
       "      <td>2406</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>GCA_000906615</td>\n",
       "      <td>allframes</td>\n",
       "      <td>5774</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>1230522</td>\n",
       "      <td>1</td>\n",
       "      <td>JX885207</td>\n",
       "      <td>168305</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>GCA_000914855</td>\n",
       "      <td>allframes</td>\n",
       "      <td>5755;5757;29195</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature;Literature;Literature</td>\n",
       "      <td>True</td>\n",
       "      <td>1244621</td>\n",
       "      <td>1</td>\n",
       "      <td>KF527229</td>\n",
       "      <td>169830</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>GCF_000846885</td>\n",
       "      <td>allframes</td>\n",
       "      <td>2271</td>\n",
       "      <td>Archaea</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>20933</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006556</td>\n",
       "      <td>1921</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>GCA_000919615</td>\n",
       "      <td>allframes</td>\n",
       "      <td>5757</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>18338</td>\n",
       "      <td>1</td>\n",
       "      <td>JN603369</td>\n",
       "      <td>2590</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>GCF_000846905</td>\n",
       "      <td>allframes</td>\n",
       "      <td>203262</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>140131</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006549</td>\n",
       "      <td>9815</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>GCA_000920455</td>\n",
       "      <td>allframes</td>\n",
       "      <td>5757</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>18338</td>\n",
       "      <td>1</td>\n",
       "      <td>JN603370</td>\n",
       "      <td>2590</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>GCF_000846925</td>\n",
       "      <td>allframes</td>\n",
       "      <td>79879</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>41092</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006557</td>\n",
       "      <td>4040</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>GCA_000928975</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9556</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>5181</td>\n",
       "      <td>1</td>\n",
       "      <td>AB767295</td>\n",
       "      <td>510</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>GCF_000846965</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9534;9606</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq;</td>\n",
       "      <td>False</td>\n",
       "      <td>150715</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006560</td>\n",
       "      <td>2530</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>GCF_000847005</td>\n",
       "      <td>allframes</td>\n",
       "      <td>9031</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq, UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>148687</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_006623</td>\n",
       "      <td>11239</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>GCA_001308675</td>\n",
       "      <td>allframes</td>\n",
       "      <td>194</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>172065</td>\n",
       "      <td>5</td>\n",
       "      <td>HM246722;HM246720;HM246721;HM246724;HM246723</td>\n",
       "      <td>25858</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>GCF_000847045</td>\n",
       "      <td>allframes</td>\n",
       "      <td>114055;554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>UniProt;Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>330611</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_000852</td>\n",
       "      <td>29604</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>GCA_001736955</td>\n",
       "      <td>allframes</td>\n",
       "      <td>1423</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>154476</td>\n",
       "      <td>9</td>\n",
       "      <td>AB930187;AB930190;AB930183;AB930189;AB930186;A...</td>\n",
       "      <td>16598</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21537</th>\n",
       "      <td>GCF_001482955</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>70270</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028742</td>\n",
       "      <td>96</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21538</th>\n",
       "      <td>GCF_002889855</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>9031;704175</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature;Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>293123</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_036582</td>\n",
       "      <td>256</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21539</th>\n",
       "      <td>GCF_000891855</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1009714</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>93198</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015294</td>\n",
       "      <td>181</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21540</th>\n",
       "      <td>GCF_001482975</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>75985</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>48594</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028743</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21543</th>\n",
       "      <td>GCF_001500355</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>90371</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>120098</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028754</td>\n",
       "      <td>171</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21545</th>\n",
       "      <td>GCF_000891895</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>9704</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>7584</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015325</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21546</th>\n",
       "      <td>GCF_001500375</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1465</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>134270</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028749</td>\n",
       "      <td>194</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21549</th>\n",
       "      <td>GCF_001500395</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>287</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>84583</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028882</td>\n",
       "      <td>153</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21552</th>\n",
       "      <td>GCF_001500415</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>61511</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028832</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21555</th>\n",
       "      <td>GCF_001500435</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>72790</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028785</td>\n",
       "      <td>139</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21557</th>\n",
       "      <td>GCF_000891975</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1747</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>29074</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015454</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21558</th>\n",
       "      <td>GCF_001500455</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1911</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>50113</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028976</td>\n",
       "      <td>75</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21560</th>\n",
       "      <td>GCF_000891995</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>232353</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>72332</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015463</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21561</th>\n",
       "      <td>GCF_001500475</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>52392</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028860</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21564</th>\n",
       "      <td>GCF_001500495</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>562</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>29237</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028943</td>\n",
       "      <td>43</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21567</th>\n",
       "      <td>GCF_001500515</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>72407</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>49037</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028760</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21570</th>\n",
       "      <td>GCF_001500535</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>52959</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>48689</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028924</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21573</th>\n",
       "      <td>GCF_001500555</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>53455</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028928</td>\n",
       "      <td>97</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21576</th>\n",
       "      <td>GCF_001500575</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>72139</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028934</td>\n",
       "      <td>98</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21578</th>\n",
       "      <td>GCF_000892115</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>246196</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>75960</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015584</td>\n",
       "      <td>129</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21579</th>\n",
       "      <td>GCF_001500595</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>42777</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>76964</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028865</td>\n",
       "      <td>107</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21582</th>\n",
       "      <td>GCF_001500615</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>584</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>161989</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028762</td>\n",
       "      <td>256</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21585</th>\n",
       "      <td>GCF_001500635</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>67263</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>56528</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028974</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21587</th>\n",
       "      <td>GCF_000892175</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>33548</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>7686</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015692</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21588</th>\n",
       "      <td>GCF_001500655</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>573</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>43595</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028870</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21590</th>\n",
       "      <td>GCF_000892195</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>959</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>23931</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015721</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21591</th>\n",
       "      <td>GCF_001500675</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1396</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>56505</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_029024</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21593</th>\n",
       "      <td>GCF_000892215</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>48008</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>124335</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_015049</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21594</th>\n",
       "      <td>GCF_001500695</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>1279</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>43189</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_028864</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21597</th>\n",
       "      <td>GCF_001500715</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>562</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>UniProt</td>\n",
       "      <td>False</td>\n",
       "      <td>30624</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_001317</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7713 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            assembly    CDStype       host_taxid host_domain  \\\n",
       "0      GCA_000320725  allframes                                \n",
       "2      GCA_000838025  allframes            29058   Eukaryota   \n",
       "5      GCF_000846545  allframes             1763    Bacteria   \n",
       "6      GCA_000845685  allframes             9606   Eukaryota   \n",
       "9      GCF_000846585  allframes             9544   Eukaryota   \n",
       "11     GCF_000846625  allframes             1582    Bacteria   \n",
       "13     GCF_000846645  allframes             1280    Bacteria   \n",
       "16     GCA_000869385  allframes            51655   Eukaryota   \n",
       "17     GCF_000846685  allframes             9606   Eukaryota   \n",
       "18     GCA_000872585  allframes              662    Bacteria   \n",
       "19     GCF_000846705  allframes             9544   Eukaryota   \n",
       "21     GCF_000846725  allframes              571    Bacteria   \n",
       "23     GCF_000846745  allframes            85569    Bacteria   \n",
       "24     GCA_000883175  allframes            29058   Eukaryota   \n",
       "26     GCA_000884815  allframes             7092   Eukaryota   \n",
       "29     GCF_000846805  allframes             9606   Eukaryota   \n",
       "31     GCF_000846825  allframes             9823   Eukaryota   \n",
       "34     GCA_000906615  allframes             5774   Eukaryota   \n",
       "36     GCA_000914855  allframes  5755;5757;29195   Eukaryota   \n",
       "37     GCF_000846885  allframes             2271     Archaea   \n",
       "38     GCA_000919615  allframes             5757   Eukaryota   \n",
       "39     GCF_000846905  allframes           203262   Eukaryota   \n",
       "40     GCA_000920455  allframes             5757   Eukaryota   \n",
       "41     GCF_000846925  allframes            79879    Bacteria   \n",
       "44     GCA_000928975  allframes             9556   Eukaryota   \n",
       "45     GCF_000846965  allframes        9534;9606   Eukaryota   \n",
       "49     GCF_000847005  allframes             9031   Eukaryota   \n",
       "50     GCA_001308675  allframes              194    Bacteria   \n",
       "53     GCF_000847045  allframes    114055;554065   Eukaryota   \n",
       "58     GCA_001736955  allframes             1423    Bacteria   \n",
       "...              ...        ...              ...         ...   \n",
       "21537  GCF_001482955  refseqCDS           246196    Bacteria   \n",
       "21538  GCF_002889855  refseqCDS      9031;704175   Eukaryota   \n",
       "21539  GCF_000891855  refseqCDS          1009714    Bacteria   \n",
       "21540  GCF_001482975  refseqCDS            75985    Bacteria   \n",
       "21543  GCF_001500355  refseqCDS            90371    Bacteria   \n",
       "21545  GCF_000891895  refseqCDS             9704   Eukaryota   \n",
       "21546  GCF_001500375  refseqCDS             1465    Bacteria   \n",
       "21549  GCF_001500395  refseqCDS              287    Bacteria   \n",
       "21552  GCF_001500415  refseqCDS           246196    Bacteria   \n",
       "21555  GCF_001500435  refseqCDS           246196    Bacteria   \n",
       "21557  GCF_000891975  refseqCDS             1747    Bacteria   \n",
       "21558  GCF_001500455  refseqCDS             1911    Bacteria   \n",
       "21560  GCF_000891995  refseqCDS           232353    Bacteria   \n",
       "21561  GCF_001500475  refseqCDS           246196    Bacteria   \n",
       "21564  GCF_001500495  refseqCDS              562    Bacteria   \n",
       "21567  GCF_001500515  refseqCDS            72407    Bacteria   \n",
       "21570  GCF_001500535  refseqCDS            52959    Bacteria   \n",
       "21573  GCF_001500555  refseqCDS           246196    Bacteria   \n",
       "21576  GCF_001500575  refseqCDS           246196    Bacteria   \n",
       "21578  GCF_000892115  refseqCDS           246196    Bacteria   \n",
       "21579  GCF_001500595  refseqCDS            42777    Bacteria   \n",
       "21582  GCF_001500615  refseqCDS              584    Bacteria   \n",
       "21585  GCF_001500635  refseqCDS            67263    Bacteria   \n",
       "21587  GCF_000892175  refseqCDS            33548   Eukaryota   \n",
       "21588  GCF_001500655  refseqCDS              573    Bacteria   \n",
       "21590  GCF_000892195  refseqCDS              959    Bacteria   \n",
       "21591  GCF_001500675  refseqCDS             1396    Bacteria   \n",
       "21593  GCF_000892215  refseqCDS            48008   Eukaryota   \n",
       "21594  GCF_001500695  refseqCDS             1279    Bacteria   \n",
       "21597  GCF_001500715  refseqCDS              562    Bacteria   \n",
       "\n",
       "                               evidence is_inherited       bp  numcontigs  \\\n",
       "0                                                     1193433          10   \n",
       "2                                              False   131405           1   \n",
       "5                               UniProt        False    52297           1   \n",
       "6                       RefSeq, UniProt        False   159378           1   \n",
       "9                            Literature        False   171096           1   \n",
       "11                               RefSeq        False    39166           1   \n",
       "13                      RefSeq, UniProt        False   148317           1   \n",
       "16                                             False   134417           1   \n",
       "17                      RefSeq, UniProt        False    34214           1   \n",
       "18                                             False    33507           1   \n",
       "19                           Literature        False    34246           1   \n",
       "21                               RefSeq        False    51601           1   \n",
       "23                               RefSeq        False    41391           1   \n",
       "24                           Literature        False   132425           1   \n",
       "26                               RefSeq        False   126770           1   \n",
       "29          Literature, RefSeq, UniProt        False    34125           1   \n",
       "31                           Literature        False    32621           1   \n",
       "34                               RefSeq        False  1230522           1   \n",
       "36     Literature;Literature;Literature         True  1244621           1   \n",
       "37                               RefSeq        False    20933           1   \n",
       "38                               RefSeq        False    18338           1   \n",
       "39                           Literature        False   140131           1   \n",
       "40                               RefSeq        False    18338           1   \n",
       "41                               RefSeq        False    41092           1   \n",
       "44                               RefSeq        False     5181           1   \n",
       "45                              RefSeq;        False   150715           1   \n",
       "49                      RefSeq, UniProt        False   148687           1   \n",
       "50                                             False   172065           5   \n",
       "53           UniProt;Literature, RefSeq        False   330611           1   \n",
       "58                               RefSeq        False   154476           9   \n",
       "...                                 ...          ...      ...         ...   \n",
       "21537                            RefSeq        False    70270           1   \n",
       "21538     Literature;Literature, RefSeq        False   293123           1   \n",
       "21539                            RefSeq        False    93198           1   \n",
       "21540                            RefSeq        False    48594           1   \n",
       "21543                            RefSeq        False   120098           1   \n",
       "21545                            RefSeq        False     7584           1   \n",
       "21546                Literature, RefSeq        False   134270           1   \n",
       "21549                            RefSeq        False    84583           1   \n",
       "21552                            RefSeq        False    61511           1   \n",
       "21555                            RefSeq        False    72790           1   \n",
       "21557                        Literature        False    29074           1   \n",
       "21558                            RefSeq        False    50113           1   \n",
       "21560                            RefSeq        False    72332           1   \n",
       "21561                            RefSeq        False    52392           1   \n",
       "21564                            RefSeq        False    29237           1   \n",
       "21567                            RefSeq        False    49037           1   \n",
       "21570                                          False    48689           1   \n",
       "21573                            RefSeq        False    53455           1   \n",
       "21576                            RefSeq        False    72139           1   \n",
       "21578                            RefSeq        False    75960           1   \n",
       "21579                            RefSeq        False    76964           1   \n",
       "21582                            RefSeq        False   161989           1   \n",
       "21585                            RefSeq        False    56528           1   \n",
       "21587                            RefSeq        False     7686           1   \n",
       "21588                            RefSeq        False    43595           1   \n",
       "21590                            RefSeq        False    23931           1   \n",
       "21591                            RefSeq        False    56505           1   \n",
       "21593                            RefSeq        False   124335           1   \n",
       "21594                                          False    43189           1   \n",
       "21597                           UniProt        False    30624           1   \n",
       "\n",
       "                                               accession  numCDS  \\\n",
       "0      AFYC01000008;AFYC01000001;AFYC01000007;AFYC010...  155542   \n",
       "2                                               AF271059   11999   \n",
       "5                                              NC_001335    2198   \n",
       "6                                                 X83413   14543   \n",
       "9                                              NC_006146    8579   \n",
       "11                                             NC_005893    3614   \n",
       "13                                             NC_005880   21757   \n",
       "16                                              DQ457003   12199   \n",
       "17                                             NC_001454    2479   \n",
       "18                                              AB374228    2681   \n",
       "19                                             NC_006144    2085   \n",
       "21                                             NC_005857    3728   \n",
       "23                                             NC_005841    3470   \n",
       "24                                              AP010907   12034   \n",
       "26                                              FJ882854   11554   \n",
       "29                                             NC_001460    2954   \n",
       "31                                             NC_002702    2406   \n",
       "34                                              JX885207  168305   \n",
       "36                                              KF527229  169830   \n",
       "37                                             NC_006556    1921   \n",
       "38                                              JN603369    2590   \n",
       "39                                             NC_006549    9815   \n",
       "40                                              JN603370    2590   \n",
       "41                                             NC_006557    4040   \n",
       "44                                              AB767295     510   \n",
       "45                                             NC_006560    2530   \n",
       "49                                             NC_006623   11239   \n",
       "50          HM246722;HM246720;HM246721;HM246724;HM246723   25858   \n",
       "53                                             NC_000852   29604   \n",
       "58     AB930187;AB930190;AB930183;AB930189;AB930186;A...   16598   \n",
       "...                                                  ...     ...   \n",
       "21537                                          NC_028742      96   \n",
       "21538                                          NC_036582     256   \n",
       "21539                                          NC_015294     181   \n",
       "21540                                          NC_028743      77   \n",
       "21543                                          NC_028754     171   \n",
       "21545                                          NC_015325       7   \n",
       "21546                                          NC_028749     194   \n",
       "21549                                          NC_028882     153   \n",
       "21552                                          NC_028832      95   \n",
       "21555                                          NC_028785     139   \n",
       "21557                                          NC_015454      45   \n",
       "21558                                          NC_028976      75   \n",
       "21560                                          NC_015463     102   \n",
       "21561                                          NC_028860     100   \n",
       "21564                                          NC_028943      43   \n",
       "21567                                          NC_028760      72   \n",
       "21570                                          NC_028924      82   \n",
       "21573                                          NC_028928      97   \n",
       "21576                                          NC_028934      98   \n",
       "21578                                          NC_015584     129   \n",
       "21579                                          NC_028865     107   \n",
       "21582                                          NC_028762     256   \n",
       "21585                                          NC_028974      70   \n",
       "21587                                          NC_015692       6   \n",
       "21588                                          NC_028870      54   \n",
       "21590                                          NC_015721      42   \n",
       "21591                                          NC_029024      54   \n",
       "21593                                          NC_015049      82   \n",
       "21594                                          NC_028864      68   \n",
       "21597                                          NC_001317      46   \n",
       "\n",
       "                  ...               orphanMTases  pEndo  pRM  T4  T2G  pT4  \\\n",
       "0                 ...                          0      0    0   0    0    0   \n",
       "2                 ...                          0      0    0   0    0    0   \n",
       "5                 ...                          0      0    0   0    0    0   \n",
       "6                 ...                          0      0    0   0    0    0   \n",
       "9                 ...                          0      0    0   0    0    0   \n",
       "11                ...                          0      0    0   0    0    0   \n",
       "13                ...                          0      0    0   0    0    0   \n",
       "16                ...                          0      0    0   0    0    0   \n",
       "17                ...                          0      0    0   0    0    0   \n",
       "18                ...                          0      0    0   0    0    0   \n",
       "19                ...                          0      0    0   0    0    0   \n",
       "21                ...                          1      0    0   0    0    0   \n",
       "23                ...                          0      0    0   0    0    0   \n",
       "24                ...                          0      0    0   0    0    0   \n",
       "26                ...                          0      0    0   0    0    0   \n",
       "29                ...                          0      0    0   0    0    0   \n",
       "31                ...                          0      0    0   0    0    0   \n",
       "34                ...                          0      0    0   0    0    0   \n",
       "36                ...                          0      0    0   0    0    0   \n",
       "37                ...                          0      0    0   0    0    0   \n",
       "38                ...                          0      0    0   0    0    0   \n",
       "39                ...                          0      0    0   0    0    0   \n",
       "40                ...                          0      0    0   0    0    0   \n",
       "41                ...                          0      0    0   0    0    0   \n",
       "44                ...                          0      0    0   0    0    0   \n",
       "45                ...                          0      0    0   0    0    0   \n",
       "49                ...                          0      0    0   0    0    0   \n",
       "50                ...                          1      0    0   0    0    0   \n",
       "53                ...                          5      0    0   0    0    0   \n",
       "58                ...                          0      0    0   0    0    0   \n",
       "...               ...                        ...    ...  ...  ..  ...  ...   \n",
       "21537             ...                          0      0    0   0    0    0   \n",
       "21538             ...                          0      0    0   0    0    0   \n",
       "21539             ...                          0      0    0   0    0    0   \n",
       "21540             ...                          3      0    0   0    0    0   \n",
       "21543             ...                          0      0    0   0    0    0   \n",
       "21545             ...                          0      0    0   0    0    0   \n",
       "21546             ...                          0      0    0   0    0    0   \n",
       "21549             ...                          0      0    0   0    0    0   \n",
       "21552             ...                          1      0    0   0    0    0   \n",
       "21555             ...                          0      0    0   0    0    0   \n",
       "21557             ...                          0      0    0   0    0    0   \n",
       "21558             ...                          0      0    0   0    0    0   \n",
       "21560             ...                          1      0    0   0    0    0   \n",
       "21561             ...                          0      0    0   0    0    0   \n",
       "21564             ...                          0      0    0   0    0    0   \n",
       "21567             ...                          1      0    0   0    0    0   \n",
       "21570             ...                          4      0    0   0    0    0   \n",
       "21573             ...                          0      0    0   0    0    0   \n",
       "21576             ...                          0      0    0   0    0    0   \n",
       "21578             ...                          0      0    0   0    0    0   \n",
       "21579             ...                          1      0    0   0    0    0   \n",
       "21582             ...                          0      0    0   0    0    0   \n",
       "21585             ...                          1      0    0   0    0    0   \n",
       "21587             ...                          0      0    0   0    0    0   \n",
       "21588             ...                          0      0    0   0    0    0   \n",
       "21590             ...                          0      0    0   0    0    0   \n",
       "21591             ...                          0      0    0   0    0    0   \n",
       "21593             ...                          0      0    0   0    0    0   \n",
       "21594             ...                          0      0    0   0    0    0   \n",
       "21597             ...                          0      0    0   0    0    0   \n",
       "\n",
       "       pT2G  virus_RM  virus_MTtotal                virus_lineage  \n",
       "0         0         0              0  dsDNA viruses, no RNA stage  \n",
       "2         0         0              0  dsDNA viruses, no RNA stage  \n",
       "5         0         0              0  dsDNA viruses, no RNA stage  \n",
       "6         0         0              0  dsDNA viruses, no RNA stage  \n",
       "9         0         0              0  dsDNA viruses, no RNA stage  \n",
       "11        0         0              0  dsDNA viruses, no RNA stage  \n",
       "13        0         0              0  dsDNA viruses, no RNA stage  \n",
       "16        0         0              0  dsDNA viruses, no RNA stage  \n",
       "17        0         0              0  dsDNA viruses, no RNA stage  \n",
       "18        0         0              0  dsDNA viruses, no RNA stage  \n",
       "19        0         0              0  dsDNA viruses, no RNA stage  \n",
       "21        0         0              1  dsDNA viruses, no RNA stage  \n",
       "23        0         0              0  dsDNA viruses, no RNA stage  \n",
       "24        0         0              0  dsDNA viruses, no RNA stage  \n",
       "26        0         0              0  dsDNA viruses, no RNA stage  \n",
       "29        0         0              0  dsDNA viruses, no RNA stage  \n",
       "31        0         0              0  dsDNA viruses, no RNA stage  \n",
       "34        0         0              0  dsDNA viruses, no RNA stage  \n",
       "36        0         0              0  dsDNA viruses, no RNA stage  \n",
       "37        0         0              0  dsDNA viruses, no RNA stage  \n",
       "38        0         0              0  dsDNA viruses, no RNA stage  \n",
       "39        0         0              0  dsDNA viruses, no RNA stage  \n",
       "40        0         0              0  dsDNA viruses, no RNA stage  \n",
       "41        0         0              0  dsDNA viruses, no RNA stage  \n",
       "44        0         0              0  dsDNA viruses, no RNA stage  \n",
       "45        0         0              0  dsDNA viruses, no RNA stage  \n",
       "49        0         0              0  dsDNA viruses, no RNA stage  \n",
       "50        0         0              1  dsDNA viruses, no RNA stage  \n",
       "53        0         0              5  dsDNA viruses, no RNA stage  \n",
       "58        0         0              0  dsDNA viruses, no RNA stage  \n",
       "...     ...       ...            ...                          ...  \n",
       "21537     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21538     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21539     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21540     0         0              3  dsDNA viruses, no RNA stage  \n",
       "21543     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21545     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21546     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21549     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21552     0         0              1  dsDNA viruses, no RNA stage  \n",
       "21555     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21557     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21558     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21560     0         0              1  dsDNA viruses, no RNA stage  \n",
       "21561     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21564     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21567     0         0              1  dsDNA viruses, no RNA stage  \n",
       "21570     0         0              4  dsDNA viruses, no RNA stage  \n",
       "21573     0         1              1  dsDNA viruses, no RNA stage  \n",
       "21576     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21578     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21579     0         0              1  dsDNA viruses, no RNA stage  \n",
       "21582     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21585     0         0              1  dsDNA viruses, no RNA stage  \n",
       "21587     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21588     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21590     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21591     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21593     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21594     0         0              0  dsDNA viruses, no RNA stage  \n",
       "21597     0         0              0  dsDNA viruses, no RNA stage  \n",
       "\n",
       "[7713 rows x 30 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#we will now subset viraldata into dsDNA only\n",
    "dsDNA=viraldat.loc[(viraldat['virus_lineage'] == 'dsDNA viruses, no RNA stage')]\n",
    "dsDNA.to_csv('data/dsDNAviruses.csv',sep='\\t')\n",
    "dsDNA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>allframes</th>\n",
       "      <th>annotatedCDS</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>46</td>\n",
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       "      <th>5</th>\n",
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       "      <td>4</td>\n",
       "      <td>10</td>\n",
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       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
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       "      <td>3</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    allframes  annotatedCDS  frequency\n",
       "0           0             1          1\n",
       "1           1             2          1\n",
       "2           3             2          1\n",
       "3           0             0       2119\n",
       "4           3             3         46\n",
       "5           4             4         10\n",
       "6           2             1          6\n",
       "7           2             0          4\n",
       "8          18            18          1\n",
       "9          16            16          1\n",
       "10          2             2        133\n",
       "11          4             2          2\n",
       "12          1             0          5\n",
       "13          5             3          1\n",
       "14          1             1        449\n",
       "15          5             5          3"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#we will now need to run a control to see how well Refseq annotation and all frames translated differs\n",
    "refseq_allframe_annotated={}\n",
    "for row in dsDNA.itertuples():\n",
    "    assembly,CDStype,MT = row[1],row[2],row[-2]\n",
    "    if assembly[0:3] == 'GCF':\n",
    "        if assembly not in refseq_allframe_annotated:\n",
    "            refseq_allframe_annotated[assembly] = [assembly,None,None]\n",
    "        if CDStype == 'allframes':\n",
    "            refseq_allframe_annotated[assembly][1] = MT\n",
    "        else:\n",
    "            refseq_allframe_annotated[assembly][2] = MT\n",
    "#make sure we found all pairs\n",
    "m=[]\n",
    "for assembly in refseq_allframe_annotated:\n",
    "    #remove if either are None\n",
    "    if None not in refseq_allframe_annotated[assembly]:\n",
    "        #remove ones where both are zero\n",
    "        m.append(refseq_allframe_annotated[assembly])\n",
    "coord_count={}\n",
    "for el in m:\n",
    "    coord = (el[1],el[2])\n",
    "    if coord in coord_count:\n",
    "        coord_count[coord]+=1\n",
    "    else:\n",
    "        coord_count[coord]=1\n",
    "forheatmap = pd.DataFrame( [[coord[0],coord[1],coord_count[coord]] for coord in coord_count] )\n",
    "forheatmap.columns=['allframes','annotatedCDS','frequency']\n",
    "CDSpairs = pd.DataFrame(m)\n",
    "CDSpairs.columns = ['assembly','allframes_MTcount','annotatedCDS_MTcount']\n",
    "CDSpairs.to_csv('data/CDSvsAllframes.csv',sep='\\t')\n",
    "forheatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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t3jzzdL5JpOYfJSTIRo92zs5m7FWY2CCgAcCmzp6VLFxoSuf5RN2IngyfffCgbP58J8EdX0EIaACwqfXrFWZLbxCNs9ggOtpRq7VlReKFgAYAmzp/XmK2FEjUpeg2Fy/i6zEiBDQAiFBenr0rEAcENADYlJNT6RNf1aqFjhxECGgAsLFu3UppYA4M1FapgoAmQkADgI317VvYvn1JE42PHi2KOdHFAAENADYlk9FXXz00W1Gf6LRpYcaMvJLj+5WCgAYAW6tb13DmTOaQIRrzlZ076zZtyh41CpfPT6AvCwDYgaen8euvH86enZeaKtFomFq1DN7eaHe2hIAGALtxdORatdLbuwrxQhMHAIBIIaABAETK1k0cCoWi9I2K7MJxpfdsr2gSiaQcxVcEiUTCsqwYXhOGYaRSUbSSsSzLMIx4/kAiqYRlWblczopgiGWpVMpxnEQiKX3TZyCGN79t2Ppfl05X5g40Op1ODH8PqVRajuIrgkwmMxqNYiiGj0UxVCKRSDiOE0MlJKa3ikKh0Ov1IimG4zi93jrNzWIIBNuwdUAbDIZy7CKGvwfHceUoviJwHGc0GsVQDH9NJIZKGIahcr27KgLeKkXxn6BiqOTFYv//+wAAgCAENACASCGgAQBECgENACBSCGgAAJFCQAMAiBQCGgBApBDQAAAihYAGABApBDQAgEghoAEARAoBDQAgUghoAACRQkADAIgUAhoAQKQQ0AAAIoWABgAQKQQ0AIBIIaABAEQKAQ0AIFIIaAAAkUJAAwCIFAIaAECkENAA8ATH0Z077OXLEo2GsXctgIAGACIi0miYhQudqlTxaNasklrtXrNm5WHDXE6ckNq7rlcaAhoAKDOTDQtz+fJLJ/OVv/0m79bNbf16hb2qAgQ0wKuO42jsWNW+fbLHK24SqU2/HTdOlZwsE9wRKhoCGuBVFx8v//13+eOl+UTdiArMN1i82NH2VQEhoAFg50652dIbROMsNoiPl9+6haywA7zoAK+6e/fMcyCQqEvRbS5dktisHjBBQAO86phn6FAnk3EVXwhYQkADvOoaNDCUuo2PT+nbgNUhoAFede++W1jyBu+8U+jsjCtoO0BAA7zqmjTRR0YWlLDBJ5/k2awYMIeABgCaOjVvxAhTRtcnOm36VUJClpeX0S5VAe7jBACSSGju3Ly33y5cu1Zx9y7755/yoCBtu3a6//1P4+SExg27QUADwCNqtV6tfmjvKuAJNHEAAIgUAhoAQKQQ0AAAIoWABgAQKQQ0AIBIIaABAEQKAQ0AIFIIaAAAkUJAAwCIFAIaAECkENAAACJltYCePXu2RqMhouzs7BEjRowbN27cuHE3btyw1vEBAF41VhgsKTc3d8aMGWlpafzirVu3AgMDBw4c+PxHBgB4lVkhoFUq1ezZs2fOnMkv3r59+/Tp059//nmDBg2GDBnCMAwRHTp0KD8/38HBoWXLlmU9voODA8fZf8BDiUTi4OBg7yqIiCQSCcMwYiiGYRipVCqGSliWJSIxVEJiequwLCuTyZhnmXOwgkmlUo7j+D/T8xNDINiGFQKaYRi5XC6RPJr0t3Llyv3792/atOnChQv/+ecfX19fIoqLi7tz546bm5u/v39Zjy+S9zofi/augohIIpGwLGut9/pzYlnW9Ke3I4ZhGIZRKBT2LoRITG8VPqClUvuPKsy/INYKVoPhVZkg0fIvt3jxYsHtxo8f/4xHfP311/kH/v7+V65c4QN62rRp/MqMjIwy1efh4ZGTkyOGD0ylUpmXJ4qJf1QqlcFgKCgoaY4i22BZVi6X89892JdUKnVxccnOzrZ3IURiequ4uroWFBRotVp7F0JyuZzjOJ1OZ60DiuTDuKJZXoVpNBqNRnPkyJEvv/zy1KlTN2/eXLx48fXr15/9iGvWrElOTuY4Li0trWbNmlatFgDgFWJ5BT1lyhQiUqvVKSkpnp6eRPTxxx8HBwc/+xFDQkK+/PLLX375pU6dOn5+flasFQDglSLcOHXnzh1XV1f+sYuLy507d0o90PTp0/kH7u7u8+bNs1J5AACvLuGAfvPNN3v16hUREcFx3LJly0JCQmxcFgAACAf0kiVLfv75540bN0okkv79+w8bNszGZQEAgHBXLalUKpfLGzZsGB0dXb16dTF00wEAeNUIB/TEiRN37dq1bds2hmHmzZtn6iQHAAA2IxzQO3fuXLdunVKpVCqVcXFxq1atsm1VAABQTEAbDAbTvTr5+flyudyGJQEAAFFxAT1u3Ljg4ODbt2/PmjWrbdu2ERERNi4LAACEv/0bO3asWq2Oj483GAzR0dEdOnSwcVkAACAc0O+9997y5csDAgL4xUGDBq1fv96GVQEAQJGAXrJkyZIlS65cuXLw4EF+jV6v9/DwsHlhAACvOsuAHjFiRFhY2AcffBAdHW1a6ezsbNuqAACgyJeECoXCzc1tw4YNt2/fvnz58uXLl8+dO9e+fXu7FAcA8CoTboMeM2ZMQkLCjRs31Gr18ePHIyMjbVwWAAAId7NLTExMSUn58MMPFy1alJCQkJqaauOyAABAOKCzsrI4jlOr1fv372/evHlycrKNywIAAOEmjt69e4eEhKxZsyYqKurcuXPoxQEAYHvCAb106dKzZ89WqVIlOjo6ISFhy5YtNi4LAAAsA3rAgAFFNzp16tTGjRttUg8AADxiGdAjR460Sx0AAGDBMqA7depkscZoNLKs8HeJAABQcYSTNy4ubvTo0RzH9enTx83NbfXq1TYuCwAAhAM6IiKiT58+hw4dIqLU1NSZM2fatioAACgmoPV6fWBg4I4dO0JDQ2vUqFFQUGDjsgAAQLibXdOmTcPDw5OSkk6dOjV+/PjatWvbuCwAABC+gl6/fr2/v/+OHTtUKpWLi0tsbKyNywIAAOGAlkgkVatWPXHiRExMTKNGjfbt22fjsgAAQLiJIzw8PCsrq0WLFqY1YWFhtioJAACIigvo1NTU//77TyKR2LgaAAAwEW7iUKvV6enpNi4FAADMCV9BGwyGxo0bt27dulq1avyabdu22bAqAAAoJqAjIyMxiwoAgH0JN3EEBAR4eHioVCqVSiWXyydNmmTjsgAAAHMSAgCIFOYkBAAQKcxJCAAgUpiTEABApDAnIQCASAkH9GeffcaPAR0QEBAQEGDbkgAAgKi4NuiTJ0/yo/UDAIC9CF9Bu7u7BwcH+/n5qVQqfg3uJAQAsDHLgJ4zZ84nn3wycuRITO8NAGBfDMdx5sseHh4ZGRkVd76yHtzDw+P+/fsWRdqFUqnMy8uzdxVERCqVymAwiGEeMpZl5XK5RqOxdyEklUpdXFwyMzPtXQiRmN4qrq6uBQUFWq3W3oWQXC7nOE6n01nrgK9I1zLhNmgAALA7yyaOzMxMb2/vottdv37dJvUAAMAjlgHt6uqalJRkl1IAAMCcZUBLJJI6derYoxIAAHiKZRu0n5+fXeoAAAALlgG9a9cuu9QBAAAWhG9UqThKpbIcu4ihm51MJitH8RVBKpVKJBKWtX8PHIZhJBKJGCYXZlmWYRiR/IHE81aRSCQKhUImk9m7EJJIJBzHyeVyqxzNaDRa5TjiZ+uALmv/UEdHx7y8PDEEtHg6t6IfdFFSqVQmk4nkDySet4pUKtVoNC9lP2iRfARWtNKvwl6dDysAAFERDui4uLjRo0dzHNenTx83N7fVq1fbuCwAABAO6IiIiD59+vAD2qWmpvJDjwIAgC0JB7Rerw8MDNyxY0doaGiNGjXE0NwJAPCqEf6SsGnTpuHh4UlJSadOnRo/fnzt2rVtXBYAAAhfQa9fv97f33/Hjh0qlcrFxSU2NtbGZQEAgHBAu7q6yuXy2NjYhw8f+vr6Cg6fBAAAFUo4oCdOnLhr165t27YxDDNv3rxp06bZuCwAABAO6J07d65bt06pVCqVyri4uFWrVtm2KgAAKCagDQaDwWDgH+fn51vrBk0AAHh2wgE9bty44ODg27dvz5o1q23bthERETYuCwAAhLvZjR07Vq1Wx8fHGwyG6OjoDh062LgsAAAQvoIuLCzMzMx87bXX6tWrd/Xq1ZiYGBuXBQAAwlfQISEhLMs2a9bMtCYsLMxWJQEAAFFxAX358uW0tDSGYWxcDQAAmAg3cQQFBf300085OTmax2xcFgAACAe0XC4fPXp0kyZN6j9m47IAAEC4iSM2NvbmzZuenp42rgYAAEyEr6CbN29uxclpAACgHISvoGUyWcOGDTt06GC6h3Dbtm02rAoAAIoJ6KioqKioKBuXAgAA5oSbONRqtZubm0KhUCgULMtOmDDBxmUBAIDwFfSYMWMSEhJu3LihVquPHz8eGRlp47IAAED4CjoxMTElJeXDDz9ctGhRQkJCamqqjcsCAADhgM7KyuI4Tq1W79+/v3nz5snJyTYuCwDA6sLCwnr27GnvKspAuImjd+/eISEha9asiYqKOnfunIeHh43LAgCwLo1Gk5CQcP36dXsXUgbCV9BLly79+uuvq1SpEh0dXa1atS1btti4LAAA6xo1alRGRsbgwYOTkpLCwsLeeuutTz75hIi+++67Bg0aNGrU6OOPPzYajXq9fuzYsXXq1GndunVkZOTixYv37t07dOhQ/iAjRoz47bffiu6VlJQ0ePDgIUOG+Pj49O3bNycnh+O4zz77rFGjRjVr1ly+fDm/7+rVq4lIr9fXrFnz9u3bpdYsfAX92WefzZw5k4gCAgICAgKs8/IAANjPsmXLEhIS1q9fn5SUtH379t27dwcEBBw+fHjTpk3Hjh2TSCSDBw9esWIFy7JpaWlpaWk5OTlqtbphw4ZFD1V0Lx8fn9jY2NTU1Lp16wYGBsbFxbEs+/fff58+ffrOnTvNmjXr16/fgAEDFi9eHB4eHh8f37Jly2rVqpVas3BAnzx58tChQ+3bt3/elwQAQHx8fX35fIuPj7927Vq3bt2IKC8v78qVK+np6REREQ4ODp6enu+8847g7kX38vHxad26dYMGDYioZcuWBQUFhw8fHjJkiEwm8/b2vnz5slKp7NSp0/Dhw7OystauXTts2LBnqVM4oN3d3YODg/38/FQqFb8GdxICwEvD2dmZf2A0GkeMGPHZZ58RUV5eHsdx7733Xgk73rp1S3CvEydOWFwRGwwGiUTCPy4sLORvK+ndu3dMTExSUtLKlSufpU7hNuiRI0fu2bNn+vTpHz/2LMcCAHixdOrUKSYmJjMzs6CgICgoKCEhoV27dj/88INGo7l79+6mTZuISKFQnDx5Uq/X37p1KyEhQXCvokfu2LHj6tWrtVrtvXv3Xn/99aysLCIaMGBAVFRUaGjoM87EbXkFvWHDhoEDB7Zr1+55nzcAgOh17Nhx+PDharVaq9WGh4f37NlTq9UeO3asbt26Xl5ebdu2JSJ/f/9mzZo1adKkSZMm/NxSRfc6ePCgxZHffffdo0eP+vj4GI3GuXPn8tfXAQEBcrn8Gds3iIjhOM582cPDIyMjg4jatWuXlJT0/M/fAn/wZ+fh4XH//n2LIu1CqVTm5eXZuwoiIpVKZTAYCgoK7F0IsSwrl8vFMJ+DVCp1cXHJzMy0dyFEYnqruLq6FhQUaLVaexdCcrmc4zgrjpFpm76/X375pUKhGD9+vLUOeOzYsffee+/48ePPuL1wEwcRXbhwwUolAQAAbdiw4e233/7222+ffRfhLwkBAGDKlClWPNrAgQMHDhxYpl0sA5rjOL1eb/7g0XZSRDkAgE1Zxm5mZqZMJuMfmx4QkRhagQEAyunCRa5F67LuxPx3gurUrohynpFlQGOmKwB4CRmNlJ9fnr3syjKg0ZQBAC8lrvg+EcVhKqKOsihzxQAALyCGI1lZf8wjOjc3t3v37n5+fm+//bZGo9HpdEOGDOnYseOkSZOIqOTFckNAA8DLjyOGI3nZf54EdExMTPv27ZOTk5s2bbphw4YdO3bUqlVr3759586dS0tLK3mx3N+NnzAAACAASURBVGVbNmgMGDBAcLuNGzeW+xwAAPbGcCQrfavitWjRwtvbm4gqVapEREeOHGnTpg0RqdXq5OTklJSUEhYbNWpUvpNaBvTIkSOf5zkAAIgRyzL9Q/mH3MF/uZt3ituQ8a7OBLR6vPCkjaFNmzYcx23YsCE2NnbPnj2HDh3i87pmzZoPHjzIysoqYbHcVVsG9A8//CC4XadOncp9DgAAOzNyhl9+N1sutjcEd/0ePd5S8mXUk/UcN2nSpHv37u3Zs8fd3d3NzY2fVvvatWs1a9YsebHcVT/TFXRubm65TwAAIAYcScq+05M26E2bNkml0lWrVvGLvr6+J06cCA0NPXnyZN++fR0dHUtYLHfNlgFtfqWs1Wr37t27fv36HTt25JejCyEAgFgw3PONbJGYmBgfH79nzx4i+vDDDwcOHPjbb7/17t27SZMmPj4+devWLWGx3CcVqJifX2vdunW//PJLdnb2mDFj/vnnn/I/LQAAEXjOK+hly5ZZ/I6fYJAnl8tLWCw3y252kydPrl27dlhYmIODw+bNm728vBYvXty0adPnPxMAgL1wxHAkKeuPvasucgU9f/58f3//OXPmdOjQQSKRsOyzdpSePXv2Rx99pFAoDAbDN998c+/evUaNGpmmwgUAsK9yBC5HjH1vJrTM3wsXLvTo0SMiIqJmzZrjxo3TaDTmY9oJys3NnThxYnJyMr+YnJzs6ek5d+7cGzdu3Lhxo0KqBgAomxfyCtoyoOvVqzd16tS0tLTt27cTEcdxdevWnTVrVgmHUKlUs2fPbtGiBb+YlpZWv359ImrQoMHz3EIDAGBFHEnL+mPvkoupgGEYtVqtVqsXLlwYHx+/bt26Eg7BMIxcLjfNX5uXl8fPRuPh4WGa+GfSpEm3bt1yd3f/+uuvy1qiq6trWXepCCzLmo+/akd8u5ODg4O9CyEiYllWoVDYuwpiGIZlWTc3N3sXQiSmt4pEIlEqlU5OTvYuhBiGIeuNWmwwGMpRQjkGS7L7cEmlfERIpdI333zzzTfffPYjKpXK+/fvN2jQICMjwzRvWGhoaH5+voODQ1ln0nN2dtZoNGIYjdrBwaGwsNDeVRARKRQKo9EohonmGIaRSqViGKKWZVlHR0cxzNNIYnqrODk5abXaUlspbUAqlXIcV65gFcBxXDkuUMTQZFFW1r+Gb9iw4aVLl/z9/S9dusTfjU5EpgdlnTTW2dm5sLBQDAEtlUpF8q9OJpMZDAYxFMNfy4uhEqlU6ujoKIZKSExvFYVCodPpxPBZznGcdSeNLXMBxDxnNzu7sP5odn5+fnfu3Jk1a1b16tX5u9EBAOyOI7asP/YuuZgr6Nzc3D///FOj0ZjWFDfKncn06dMfHVEqteIs5QAAVmEsTzc7OxMO6PDw8IyMjFatWpnWlBrQAAAi9kI2cQgH9JkzZ86cOfPsd6kAAIjci/gloXAEt2zZ8tKlSzYuBQCgwryQN6pYXkGHhoYSUXZ2dsOGDX19fatWrcqv37Ztm61LAwCwEq5ck8YWbeIIDQ2NiYlRqVR379718/Pj79KIjY2tW7fu8OHDr1696ufnN3/+fJ1OZ75Y7rItA/rjjz8u97EAAESrHF8SmsvMzHzrrbeOHDnCL164cCE8PNzUOeLXX3+tVavW2rVrQ0ND09LSTp8+bb5otSmv2rVrR0Tvvffe8uXLTSsHDRrErwcAeDGV505C814c7u7uCQkJISEh/GJ6evr+/fu7du3q6+s7a9askqcotFpAL1myZMmSJVeuXDl48CC/Rq/Xm24IBAB4IbGMon9b/qH2YJrhZrHzBEq8K8kDGj5aMJuTkGEYhUJhGtPCy8srKiqqQ4cOgwcP/u2332w0J+GIESPCwsI++OCD6Oho00pnZ+dynwAAwP6MXP4vf5stF3s1rb+epX+8peuXA4vbrHPnzvyD0NDQ06dP22hOwnbt2m3evFmr1VoM5YwvCQHgxcUR85xt0BaioqL8/f179eqVnJwcGBio0+lsMSfhxx9/XKlSJXxVCAAvGeveqDJ27Nj+/fvPmTOnefPmvXr10uv1FTEnISM4DlFYWFiPHj26detWpUqVch9aUFkHS/Lw8Lh//74YBktSKpWm0VPtS6VSGQwGMYzcxrKsXC43HxLAXqRSqYuLS2Zmpr0LIRLTW8XV1bWgoEAMgyXJ5XLrDpZU1i/GdOfuXG/0SVnPUvPil9K6nmXdy4qEG2K6du0aHx/fpk0btVr9+eefJyUl2bgsAADrKseNKna/MBQO6KFDh65cufLgwYNhYWErVqxo3769jcsCALAuI0nK+mP3sTiEA/r9999v0qRJUFDQxYsXv/3227t379q4LAAAK+KIeXmGGz179qxWq23Xrp1arX7jjTfQDxoAXnTl6sUhytHsDhw4oNFo/vnnn8TExClTprAse+3aNRtXBgBgPeUbbtTOhAP633//TUxMTExMPHnypFqtLtOchAAAImR8vlu97UI4oCMiIoKCgiZNmhQQECCS+YkBAJ7HyzNg/9GjR21cBwBAxbH6nYS2Yf1ZvQEAREgMvTLKCgENAK+Cl2JOwsWLFwtuh4m6AeCF9jJ8SciPq3DixInExMTg4GAPD49Nmzb169fPHrUBAFjNy9DNbsqUKUSkVqtTUlI8PT2J6OOPPw4ODrZDaQAAVsIRU44raLs3cQhXfOfOHX4yRCJycXG5c+eODUsCALC+co3FYSk0NPThw4dEpNPphgwZ0rFjx0mTJpW6WG7CAf3mm2/26tVr69atW7ZsCQkJMU3DBQDwYmLKMZqd+f6ZmZkBAQHbt2/nF3fs2FGrVq19+/adO3cuLS2t5MVyFy3ci2PJkiU///zzxo0bJRJJ//79hw0bVu4TAACIQbm+JHzSxGExaWzJs8RW1KSxPI1GU7VqVVMpsbGxYWFh5TsBAID9sUyVD1ryDx/8fqXwSk5xGypec3HrVtu0l2m9xaSxJc8SW1GTxvLCw8OzsrJatGhhWoOABoAXF2ekm9FnzFYU26Mj/1Je/uMtvSa3Lm6zkmeJrahJY3mpqan//fef6bMCAOBFZ91eHL6+viXMEmutSWOFK1ar1enp6eU+KACAqPBjcZT1p4QbVXr37n3p0qXevXvXq1fPx8en5MVyly18BW0wGBo3bty6detq1arxa7Zt21bucwAA2J1VbvXeu3cv/0Aul69evdq0vuTFchMO6MjIyMjIyOc/OgCASJSricPOhAM6KyvLxnUAAFSkl2i4UVODxq1btxISEsLCwnr27GnDqgAArIkr15yEnL1v9RYO6J9//tn0+ObNm2juAIAX3cvTxGHO09PzzJkzpW4GACBiL1ETx9ChQ02PT5w44efnZ6NyAAAqAEdkeGmaOAYMGGB6PHTo0ICAAFvVAwBQEco33KidCVccFBRkMBgSEhL+/PPPvLw8uVxu47IAAKzLKsON2pjwFfTnn3/+559/DhkyhIhmzJjx999/f/HFF7YtDADAaso7q7comzhiY2NPnTrl6OhIROHh4c2bN0dAA8ALzfASzElownFPamMYO3+MAAA8JzE0WZRVsV8SdunSZfDgwUQUExMzcOBA21YFAGBNHDHl6MUh0iaOGTNm+Pn57du3j4g+//zzt956y7ZVAQBYWblmVHni7t27fn5+/GStsbGxdevWHT58+NWrV/38/ObPn6/T6cwXrVWzZUD37Nlz586dgwcPXr9+PW7vBoCXQ/n6QZu7cOFCeHj49OnT+cVff/21Vq1aa9euDQ0NTUtLO336tPliuee4smAZ0K6urt7e3hkZGXXq1DFff/nyZaucDwDAHp63iSM9PX3//v1du3b19fWdNWtWyXMSVlRAr1u3TqPRjBo1atmyZVY5AQCA3TEs1elfhX98+2BO3k1tcVsqveXVAlwe7/ZkvZeXV1RUVIcOHQYPHvzbb79V0CSEFgTaoBUKxcqVK611AsvzSUsf/aPoLuZdSuyFYZhyFF8RWJalcr2SFVGJRCIRQyX89GxiqITE9FZhGEY8fyCO46z1D7kcxzEamSvxufxj3UNjCT068u4aTVv6cU8SunPnzvyD0NDQ06dPV9AkhBZs/ZcrxzyH/J+2IoopEz6M7F0FERHDMPw/PHsXQizLiqcSKte7qyKI6q0ikmJYluU4zlqVlC8Q8h+Y9irp20KDlrTaR1uanyYqKsrf379Xr17JycmBgYE6na4iJiG0YOuALiwsLNP2zs7OhYWFYghoqVRa1uIriEwmMxgMYiiGZVm5XC6GSqRSqaOjoxgqITG9VRQKhU6n02qL/e+8zfCXzzqdzm4FEOmfbyyOsWPH9u/ff86cOc2bN+/Vq5der//tt9969+7dpEkTHx+funXrmi9aq+zSA9poNPKXJwAAL6zyfEloPppd9erVk5KSTIsVNAmhBeHkjYuLGz16NMdxffr0cXNzq4gTAwDYDN/Nrqw/9q66mICOiIjo06fPoUOHiCg1NXXmzJm2rQoAwLoYPUnK+mP3plXhgNbr9YGBgTt27AgNDa1Ro0ZBQYGNywIAsCKOqBwBLdJbvZs2bRoeHp6UlHTq1Knx48fXrl3bxmUBAFgRR4y+PG3QdiZ8Bb1+/Xp/f/8dO3aoVCoXF5fY2FgblwUAYF16Ysv6Y++Si7mCdnV1lcvlsbGxderU8fX15e+QAQB4QXFEuhdwTkLhj4iJEyfu2rVr27ZtDMPMmzdv2rRpNi4LAMCKOGJ0JCnrj72rLiagd+7cuW7dOqVSqVQq4+LiVq1aZduqAACsiSPSEVvWH7tfQQs3cRgMBoPBwD/Oz8/HpLEA8IJjytXEYWfCAT1u3Ljg4ODbt2/PmjUrJiYmIiLCxmUBAFgRR1T40gT02LFj1Wp1fHy8wWCIjo7u0KGDjcsCALCi8ga0KJs4iCggICAgIICIjEajDesBALA+jpgX8QoaY3EAwMuPI9KSpKw/dr+TEGNxAACIlHATBz8Wx5QpUzAWBwC8BNyqMB98XebeaM6VK6KWMsBYHADw8lO6MX0+lNm7ijLDWBwAACIlHNAuLi5dunTR6/UnTpwICQl59913bVwWAAAIN3GMGTMmISGBn6T2+PHjkZGRNi4LAACEr6ATExNTUlI+/PDDRYsWJSQkpKam2rgsAAAQDuisrCyO49Rq9f79+5s3b56cnGzjsgAAQLiJo3fv3iEhIWvWrImKijp37pyHh4eNywIAAOGAXrp06dmzZ6tUqRIdHZ2QkLBlyxYblwUAAMIB/dlnn/F3D5pG5AAAABsTboM+efIkf583AADYi/AVtLu7e3BwsJ+fn0ql4tds27bNhlUBAEAxAT1y5MiRI0fauBQAADAn3MTRpk2bs2fP/v777y1btnzw4EHbtm1tXBYAAGBWbwAAkcKs3gAAIiUc0JjVGwDA7oQD2nxW77Zt22JWbwAA28Os3gAAImUZ0D179ty5c+fgwYPXr1+PewgBAOzIMqBdXV29vb0zMjLq1Kljvv7y5cs2qwkAAKhoQK9bt06j0YwaNWrZsmV2KQgAAHgCbdAKhWLlypWmRaPRyLLC3yUCAEDFEU7euLi40aNHcxzXp08fNze31atX27gsAAAQDuiIiIg+ffrwA9qlpqbyQ48CAIAtCQe0Xq8PDAzcsWNHaGhojRo1CgoKbFwWAAAI94Nu2rRpeHh4UlLSqVOnxo8fX7t2bRuXBQAAwlfQ69ev9/f337Fjh0qlcnFxiY2NtXFZAAAgHNASiaRq1aonTpyIiYlp1KjRvn37bFwWAAAIN3GEh4dnZWW1aNHCtCYsLMxWJQEAAFFxAZ2amvrff/9JJBIbV/PCOX9esm2bw8WLEoahRo0MoaGFdeoYKu50aWclO7Y7XL8mYxhpvfoU+ra2Zs0KPB0A2JdwQKvV6vT09AYNGti4mheITkfTpil/+snRfOXs2U7jxxdMmZJn9Y82rZaZ+ply9UqF2TrpnFnKjybmfzQxn2GsfDoAEAPhgDYYDI0bN27dunW1atX4NZg01hzH0dixzps3OzxecZOoN9E/RLR4sWNWFrNgwUMrns5opP8bpdq5w4HIYKT/M9J2ImLpXZa+XrjAKTeX+WJmnhVPBwAiIRzQkZGRkZGR5Ttidnb2Rx99pFQqiWjSpEleXl7lr06sduxwMEvn+USriZ5cxK5apXjrrcJOnXTWOt0vmxx27nAgIo62c/SvlNKIyEAtOAphqEv0D45v9dT6+lntdAAgEsIBHRAQcP78eY1GQ0RarXb8+PH8XYXP4tatW4GBgQMHDrRajeKzcaOD2dIbRG5E35pvsHq1wooBvW2L6XSNWfqJyJnoPpEHkSu/dtUKBQIa4OXDcBxXdG1kZGRCQsKNGzfUavXx48cjIyNnzZr1jEdMTEyMi4tjWbZBgwZDhgxhGIaI0tPTCwsLZTKZh4dHmepzc3PLzs4WLNLGHB0d+TsqjUaqXNnt6V9eIAolOm2+6sGDLKuct7CQvKs9dTojzTLSVIaGSGiV6cr9npVOVyYsy0qlUq1Wa/tTW5BIJEqlMicnx96FEJm9VexOpVIVFhbqdPb/8JbJZBzH6fV6qxyN4zh3d3erHErkhAO6SZMmp06dmjlzZt++fTmOmzFjxq+//vqMR0xJSTEYDE2bNl24cGGXLl18fX2JKDIy8saNG5UrV/7pp5/KVJ9EIjHNjmhfLMsajUYieviQ3NwsvgQUCGidzmCV7+7u3aOa1Yt+53jbQH1YGsPQIH5Zo7fDq8R/+orh45NhGJZlxfZWsTuWZTmOE8kfiKz3VjEajTKZzCqHEjnhJo6srCyO49Rq9f79+0ePHp2cnPzsR3z99df5B/7+/leuXOED+vvvv+dXZmRklKk+Dw8Pvpgy7VURlEplXp7pu7jS/x+QlfXAKudl2SenM1I0Q9UY6kVUjaEgjo7zAd2ps/bBAztcPLIsK5fL+aYw+5JKpS4uLg8eWOc1f05Pv1XsydXVtaCgQAz/xZHL5RzHWfFavqz/F39BCd9J2Lt375CQEF9f3x9//HHcuHFlei3WrFmTnJzMcVxaWlrNmjWtVKe49OtXWPIGw4dbLbNYlkJ6mU4nN9JCIh1RPkfbGfLl1/o0FsWVIwBYl3BAL1269Ouvv65SpUp0dHS1atW2bNny7EcMCQnZsmXLxIkTdTqdn5+fleoUl7FjS2lh/L//s2YT5Ogxj47GUhhDjfRUz0DNGHqLoX78+ohRomjxBADrEm6D/uSTT2bOnFkRdxKWo4nj/v374mvioPXrFePGqQS3XLEiNySklEvsslq1QhE1Wfh0q2NyugfZ5/+wYmviyMzMtHchRGjiEIImjvIRvoI+efLks/erezUNGqTZvDm7ffun3nCdOul27862ejoT0dDhmnUbc9q2e/p0nbW7f8+yVzoDQEUT/pLQ3d09ODjYz89PpXp01YY7CYvq2FHXsWN2aqo0LU3CsuTjo2/YsALbgrsEarsEas/8J71yRSmRGOvVy69XH03PAC8z4YAeOXLkyJEjbVzKC6pxY33jxtbp3fksmjTV+/oZDAZDQQHSGeAlJxzQK1euXL58uWlx0KBB7dq1s1VJAABAVDSglyxZsmTJkitXrhw8eJBfo9frX5H2eAAAUbEM6BEjRoSFhX3wwQfR0dGmlc7OzratCgAAigT00KFDiYhlWYs26I0bN9qsJgAAoKIBje8GAQBEwjKgO3XqRES3b982DdUPAAB2IXyjilqt5u/YFsM9SAAArybhgL506VJkZOSvv/7aoEGDcePGnThxwsZl2d7Dh0xigvzXzQ6JCbL8/Aqf4y83hznwl3zHZodD+2SaAkwpCAAChPtBS6XSHj16+Pv7r1u3LioqKiYmplatWt9++2379u1tXJ8N5Oczc2Y7/RT91PSvoyILpkTlKxTWHwMk7yGzcKbTuhXm079SxLiC/5tUIJfbf8gRABAP4Svo1atX9+zZs0WLFmlpaXv37r13797y5cuHDBli4+Js4OFDZmi4i0U6E9Gy7x2Hhjtb/VI6O4sZHe5skc5E9OM3jmOGqrSFuJQGgCeEA/rAgQPjx49PT0//7rvv2rZty7Jsq1at5s6da+PibOCTKOW+RBkRcfSVkeobyYuj94m0RJTwl3zq50rrnm7GZOXB/fdyHo/jTERaWpdNPtnU8Pe4FfO/sPycAIBXmfBwo7m5uX/++af5MJIDBgywyvlENdzo5csSPzU/s9lxIwWxlEYk4agPUS+GxvHbHD2e6e1tJGuMIXn+rKRr++hCWkPEuFIKERnpdg61dqF/GXLIptYu9MeRM5Uqe5YyW5JKpTIYDGKY9Q7DjQrCcKNFYbjR8hFugw4PD8/IyGjVqpVpjbUCWlT++vPRtGYcXWcokogP6xCiS6Zt9iXKB4dZJ4D2/ymX0BsKctPQd/waHe2S0ZssVSMiOfXV0s6D+0b0Km26FgB4RQgH9JkzZ86cOcOywg0gL43btx/NSMBQCFEIERHd4OgnhpaYtrlxw2ovwp1bjIwCDVSbHge0kW6y5M0/ZsnbSDduWe90APCiE46Dli1bXrp0SfBXLxOVyrwxwcjRMiO1YWg6Q51Na11drda64uxS9FAMRw/NFg0u1jsdALzoLK+gQ0NDiSg7O7thw4a+vr5Vq1bl17+UA/b7+pnGcTZwNIDIyNLfRFXNt1H7Wq3V7P+pLYeNZqmGlg7zj410gyWvN/xsN7Q0AIicZUB//PHHdqnDLnx9dR066vbvk3G0lSiXoT1ET3V069RZ+//+n9US07+9zq+d7lDSkzUyCi6gzzm6T+Sgo61d2+1oaMOx/wFA5CwDmh+Y/7333nsVBuxnWZo2PS+wsxtREkfxHD3q5cbQCL4Z+osZeYz1uiZLpfTx5/lvB5kVQNWcaF4OdSYiBX00e2E1IsyTAgCPWLZBL1myxMfHZ/369T6P1a9fPz093S7F2UCzZvrf47Latl3Akp4lDf/D0JK27XR/JmT5+Fg5Lpu30v+yuwrfx44npzBXOhXU/mjcgXdr10U6A8ATlv2gNRqNRqMpOmC/RCKxyvlE1Q/aRKulvXscDhyQ3b/PeHhwHTrogt4slMme2saKnVu1WuaP3+TJSdKsB4xnFS6gg67Lm9pnf4HRD7oo9IMWhH7QLzrhG1WMRuOKFSuuXLkyefLkhISEnj17Mlb6r744A/pZiOdfHQK6KAS0IAT0i064m93EiRN37dq1bds2hmHmzZs3bdo0G5cFAADCAb1z585169YplUqlUhkXF7dq1SrbVgUAAMUEtMFgMBgefWGVn58vl8ttWBIAABAVF9Djxo0LDg6+ffv2rFmz2rZtGxERYeOyAABAeCyOsWPHqtXq+Ph4g8EQHR3doUMHG5cFAACWAW3e3FyzZk0iSk9PT09PHzp0qA2rAgCAIgE9bNgwDw+PN998U6l8aqx6BDQAgI1ZBvSRI0c2bdq0e/fu5s2bv/vuuz169HB0fIWm+cjPZ5ycytznWqclhiGprPQtAQCeneWXhH5+fgsXLjxz5syHH36YlJTUunXrQYMGbd++3S7F2czBg7Jhw1w8PT1q167s6ekxbJhzcnLpcfswm1k11+GTd5RvebkG13CN6q9c/7WiIA/zCgKAdQjfSWiSnp4+YcKE7du3W+tePhHeSTh7tnLxYoH/JUycmD9pUr5p0eL2sCtp7PvtnIvu1bKdfsLigmq1S5m26nngTsKicCehINxJ+KIT7mZ3/fr1RYsW+fv7Dxo0qEOHDlevXrVxWTbz888Ks3S+SaQ2/WrBAqe1ay2n3+blZjF8Ot+iGdcfz16YR4fOkm9MUr3+IVM0+fa/Nx0AXnQCo9m1b9++T58+Op1u48aNR44cmTBhAt+d4+WTk8NERakeL80n6kb01GXphAmqPKEmi83fy4noIR24S9/wa4yUf5nC6tCaJnT22q1Ts6f8WaGVA8CrwPJLwjFjxnh4eNSuXXvTpk2bNm0yrf/3339tW5gtxMeb3yH5BpEb0bcW2yQkyHr2tPwf4oZFCgNl3qCJVeljPd0mohzaq6S2CvIhonq0q+A6xt0HgOdlGdApKSmC272Uzp83H+IzkKh20YA+d05K9FRA6woZIu4qRVan6Tq6yQe0li4RGc5Tdx1dd6E32QNfWlyMAwCUlWVAN2vWzC512MWzDKEqMLM5Q/dphZy8XejN+7SCX2egvIeUVJ/+kFLlSzT4Hi0jGmrdagHgVSN8q/cr4lkmTPHxsWyskMk5WZXEW3eTsmibgR5ypNVThoo6OFNXvonDjUKdqv9TIRUDwKtEuBfHK6JLl9K7H3XqJNAx6P+G/dyMLjWlC140pzINqUPrXCgol/7U0mUDPciirWrfVhVQLwC8Wl7pgFapuMWLH5awwbJluQqFQIe5t0cWtmj71JW1nOpUpy/OU7dUalnLq/HcbwdZuVYAePW80gFNRIMHaz791HRPQX2i06ZfffFFXr9+hYJ7Oam4DxcVtGynr0zDvR/3tKtMQ5vS+SEdLm7ePcvR6ZVuOwIAq3jVA5qIxo8viIvL6tv3SRb371+YkJAVGVlSN4warxlnrs8fMVXTuvOjS+k3OutGzdbM2pDvWQN3qQCAFZRyq7fVifBW72cknvt3cat3UbjVWxBu9X7R4QoaAECkENAAACKFgAYAEClbdzawmKjlGXcRQxu0TCYrR/EVQSqVSiQSVuAeR1tjGEYikUgkktI3rWAsyzIMI5I/kHjeKhKJRKFQyGT2n0tCIpFwHCeXy0vf9BkYjRU4nK+o2Dqgy/rliaOjY15enhgCWjzf/OBLwqKkUqlMJhPJH0g8bxWpVKrRaF7KLwlF8hFY0ex/FQYAAIIQ0AAAIoWABgAQKZHekVxYyOzY6pB0QJadRc4uqjZtdaF9Cx0dS2+JPnNaumOL/MI5CRHVb2jo9ba2SbPSx87XFtA/W9i0JObhfcbFk2vUjmvdxygTnu4KAMBGxHgnIrNthwAAGBVJREFU4bF/pb16uBVdv3l7tn+bYr9k0GppxmfKmJWWsRo2VDN1dr5cXuzTvHCE+SpE4INq0m59XfWTvcTzzQ++JCwKdxIKwp2ELzrRNXGcTrFMZz1N09P/EVG/3q7H/hW+5Oc4mjhWxaezgQ4W0Bv55KWl0UTGmFWKj8coi34M3b59u1u3bpeOMl+FSDkyHKcJu8hnF/mcpCgijiPDwOBJjX2aNWvW7LPPPhNDNxIAeNWIK6A5jmZ/8VTvGSPtN9Ai0+K8OUqD0CD7e39z2P6rAxER5RfSIAeKcaILBjpuoJ1EtGOLw56dDubbf/fdd/369Sso0GyfLSGim7T7AR0Pon+D6N9btPseHeDXDG/87+FDR/bs2ZOUlGT1JwsAUDJxBfTxo9ID+8w71WfqaYKUJpuWDx6QHT4o0Ot+88ZHHeD1tFtC7VhqTOSooL0sdebX/xr7VA/5Fi1afPDBB9oCOnuAISIXatiKvpWSykhaOVWWkgu/5mKS8/l/9JUrV3ZxcbHyUwUAKI24AvrYUfPw5XQUIaWZRFXNtzn6r0BA//nHo/zl6BKRQUOBBdRIR1MZUlhswOvQoUP79u21j1txnamRG71+lhbspHou1NCdWpjWvDmwYcOGDZs3b26t5wgA8IzEFdAPHz6ZxtVAPzPkzVIPy21yLad61Zt10+Aoz0D75bREQUlGStHRUtOvin5Twj19v6gPTXyLzubSxWu02bTm65FnLl68uGXLlnI9IQCA8hNXNzsvrycNzEZK5Gi/lrZylEuk5ShDRhuJyLumZSO01OxJMFRVQt1ZakxEEupjpKOmXxUdBkDyeMdLtEpBVatTDwVVrUqBWXRKT3n8mnqNq3RWdU5JSbHeswQAeCbiuoLu2PlJLxwZrZPTNTldltI8CYXz6UxEXboK9NQZHP6op5eU3jRQPEeXOHpgoC0sqS02MOegevSAJfk5+s5IOgMV3KJd7vSGaU2dgLw9e/a0aoVJYAHA1sQV0FWqGt/7oKTuvYP/p6lZS6Abx8ixj/KXodfkNKOAAguoGUvNZPSBxQbmpDJqH24kolr0jjM12Est48i/GgV5U29+TaKyZc++7bp16xYSEvK8zw0AoIxEd6OKVsuMfM/5j70CwxJ2DtRGr8wt7n7C33fLI8KdBX/1w6rcN98S7quvLaDo4ZLT8QIfVK93N0asMEodHp1OPHcf4EaVonCjiiDcqPKiE9cVNBHJ5dyPK3I+mpxvsX7sh/nL1xSbzkQUFKzd/kd2565PvRc7d9Vu/yO7uHQmIrkjjVxtDJ5geVXec5IxYqXBlM4AALYnuitoE62WUk5KNRo3hSL79Rb6Eu7VtnDzBpuWKuU4atRY7+X9rAN767XM1ZNM9l3OtQrVasFJi1zBi+eyCFfQReEKWhCuoF904urFYU4upzfUeg8Pun9fX6ZPkRpexhpeZX5HSuWc+cgbAAB2J7omDgAA4CGgAQBECgENACBSCGgAAJFCQAMAiBQCGgBApBDQAAAiJd5+0A8y2SOHpDotSWVyvwBdZY9nuuWEM9L9Y4U5F/TEkXN9qccbDsyzfQbdv88eOiR78ICpVMnYpo2+UqVnvcMFAKCCiDGg8/KY2dOVMatM0786E9GAwZrPvshzcS3pXpKb8QVnlubcSXpyY1vVdorGkS5e3RxL2Csnh5k2TRkT89Rss+HhmunT81Qq3LoCAHYjuiaO3Fzmg3AXs3R+ZOM6RcQwl6wHlqP1m1yIeZgw8K55OhPRnSRN4qC7F9Y+LG6vBw+YoUNdLNKZiFavVoSHu+TkFHs6AICKJrqA/uJTpWlaQg01KSAF/2Okvw4ekH0+RSW818Q5Ez+cbL5mD/24meYTEUfc1Akzmzdt0apVq6VLl1rsGBWlOnDANIfWTXo8fjQR7d8v+/RT4dMBANiAuAL6+jV20wbTxayRKNORNPwPS12IaPsWh/PnJBZ7HT58eHlMtPmai3Qskdbxj0/Sn2fp8Fdtt+zZs2f79u0nTpwwbXbhguTXX02zfc8n6kb01AhEGzc6XL1qeToAANsQV0An7XsyiBxHN5mnp4vl7U94aqC5Bw8efP7551304aY1+ZSzjRZ1paH84jU605Ta39sqrVq1alBQ0B9//GHaMjHR/FBvEI0rerqEBIE5agEAbEBcAX379pN6OLrEUXYhtdLQazr6kOjRQIV3zLfhuI8++mjypCnOVOnxXlwszQ6mUaY1NahBCiVm0Z3zaRf37Nlz9+5dwdMRBRJ1KbkkAABbElf6uLmZ95pwktIwB9rvQH8Z6bT+8fzcrm5POsDFxMTUqFGjW/eupjVHaJsbVW1MbUxrWlGQDwV8R++PGTe6adOmSqXS9CtX19L70rm7oyMHANiHuLrZ+fo/Gc+bpaYsNSeSMaSS0mADJfLr/QL0pm0OHjx4+PDh3bt3P5Dl6HS6PMpiib1Ix1IoQUN5BtLnUdYA+iyQwiODJ3dY7fnJJ5/Url3btLu/f+nDhz/LNgAAFUFcAd2kmb5LN+1fcXIi0tNKI+2Q068caQy0k6VuRNSxs+4N9ZPE/OGHH/gHSz9bEf/j0X40yfSrI7TtOp3rR5PS6fh6mrHjnb3Xrl3btWvXX3/9ZdqmdWt95866ElqZu3bVNm+uL+63AAAVSlxNHET0xZxHcwVJaQSRl4bqFFIzhl6T0vtENHXWQ0aoa7Krj9y9iXDOvkYtu7QI7vVxx8GDB3/99deVK1c2/YphaPbsYrtIE9GcOaKYuAgAXk1inJMw/aJk6hTV/sSnArddB920WQ8bNbac3fUJjlIWZp+al2Wxuvlkt2YTXEu44fvsWcmnn6r273/qdJ066ebOfVi//pPTiWeiOcxJWBTmJBSEOQlfdGIMaCLiODqwT3Zwv/xhrqNSVdCmna5DZy37DJf7+bcM137LzzqrJSI3H3nNtxydapTejGM0UmKi/MABWUYG4+nJtW+v7dhRZ3E68fyrQ0AXhYAWhIB+0Yk0oE08PDzu379v4yIFiedfHQK6KAS0IAT0i050bdAAAMBDQAMAiBQCGgBApBDQAAAihYAGABApBDQAgEghoAEARErcAa3V0u3bTNl7cT54wGRmYrYqAHixiTSg5X/95TJ4sIeXF1WvXqlGDZeBA+V79pS6V2YmO3Wq0tPTo2HDyo0aVfb09Pj8c2VmpkifIwBAycQYXsrp013efVduNvWJPD7e5X//U02eTMXfUpiaKm3UqNKyZU9N4P3DD46NGlU6c0Zcg/YBADwL6we0wWD4+uuvo6KiVq1a9SzbL126VK1Wv/766x9++KFWq3X8+WfHpUufmr2ViIhuErVfscLx22+JiOO42bNnt2zZ0jQPbHY206GD29ObPzlAx45u2dlo8QCAF4z1Azo5OdnT03Pu3Lk3bty4ceNGyRunpKR89913cXFxhw4dunLlyqoff1RGRRWdvdW0RjlrFpOZuXPnzoSEhL/++ss0D+zTF84C079+//1TV9YAAOJn/YBOS0urX78+ETVo0CAtLa3kjW/evDl8+HA3NzdnZ+egoKDrhw+T0Oyt5mvkcXEnTpzo3r17pUqVTPPAHj0qK2bzR44dw9yvAPCCsX7jbF5eHj/QlIeHh2lMrx9++CEzM9PZ2fn9998337hv3759+/Ylops3b65bt+5bPz8iCiSqTfSt2WbmaxyvXGnVqtWiRYs++OADjUbz+++/t2r1RuJTg0cXPQAlJsoUCpX0OZ6uVCpVqVTl3996ZDKZVCqVSCT2LoQYhmFZVvo8L6uVsCzLMIxI/kDieatIJBKFQiGXy0vftIKxLEtEDg4OVjma0Vj6bKIvB+v/01Iqlffv32/QoEFGRoZpSMCqVas6Ojo6OTkZDJYj7huNxhUrVixcuHDOnP/f3r0GNXG1AQA+ayByEUsnxmADTTtAUhlRWuSiNSSachnAAloJLcFCASuFHwhtHZyBqR3oaC9ghTq2ZVpEOljr4LQ4QqlyC1Izai2idqhOo9PKpXKHSEhC9vux7X5pNkSUfM3h831+kc3Zd99zPLwcNrLnvbBbt+4bn2Sxtm7d2t3dHR4ezuVy/f39XV1d5pIYSTIv/gBYLNa8zrcdBwcHo9GIQzIEQRAEgUMmJEk6OjrikAnCaaqQJInPVCHn+R1oAofnD/87bF+ghUKhWq0ODQ1Vq9Xr1/+1u3ZCQgL1hdnzoGdmZjIzM0mS/P7777lcrvbs2fv+rNcKhcPDw1lZWQUFBQihPXv28Pl861sLIoQ2btRPT8/rAcqLFi3C4RHM6O/vfxySwep50IsXL8ZhTBBOU4XNZut0uv/L50Fj8jvK/5rt70GHhIQMDAwUFxevWLHC09PTeuPTp09PTk5+8cUXXC4XIaQXi+8bXyeTdXd3R0REjI+PU/vAxsXFvfDCfaagTGb/OQoAAA/E9itoBweH3NzcOTY+f/58e3s7XcdTUlJKq6qWpqbO1n7i8GHSxSUkJOTFF18MCQnhcrnUPrCpqdqmJnZbm+VFtESiT0uz/yoPAAAeCI5bXjnV1CzZtYt5XPPee1P//IzR1MDAopwct39+WogQQlKpvrx8wsNjvp8q4LOPEWx5xQRbXlkEW14tdDj+JaFWoRhRqbRpaf89kpIycu6cleqMEOLxjLW1Y2Vlk+Hhf03H8HBdaelkbe3Y/KszAAD8+3BcQZuCTWOZYAXNBCtoi2AFvdDhuIIGAACAoEADAAC2oEADAACmoEADAACmoEADAACmoEADAACmoEADAACmoEADAACmoEADAACmoEADAACmoEADAACmoEADAACm/u2HJT0Qo9GYkJBQW1vr4jKnTa0eEYcOHeLxeNRejoCiVqtLSkoqKyvtnQhedu/e/dJLLwUFBdk7EfCQ7L/dp3V37tx5dDaInKPR0VFnZ2d7Z4EXvV7f399v7yywc/fuXRyeNQgeGu63OPh8PrUfMKC5u7svXbrU3lngxdHR0cPDw95ZYIfL5To5Odk7C/DwsL7FAQAAjzJYnAIAAKbwvQc9MzPz8ccf3717VyQSpc6+jewjZWxsLD8/39XVFSH09ttv8/l8e2dkfyUlJfn5+U5OTjBhTNHDAnNmQcO3QKtUKi6Xm5eXV1JScufOHZhYCKG+vj6ZTPbyyy/bOxEsTExMvPvuuz09PdRLmDAUs2GBObOg4XuLo6enx8fHByHk6+tLz7ZHXH9//9WrVwsLC6urq+HDgyVLlpSUlKxZs4Z6CROGYjYsMGcWNHwLtEajofaFXLZsGSZbcNodh8PZtm1bUVFRb2/vhQsX7J2OnREEwWazWSwW9RImDMVsWGDOLGj4FmhXV9ehoSGE0ODgIHUHDfj7+wcEBDg6OoaGht6+fdve6eAFJoxFMGcWNHwLtFAoVKvVCCG1Wi0UCu2dDhaqq6tVKhVJkj09PV5eXvZOBy8wYSyCObOg4VugQ0JCBgYGiouLV6xY4enpae90sLB58+a6urq33npLr9eHhITYOx28wISxCObMggZ/qAIAAJjCdwUNAACPOCjQAACAKSjQAACAKSjQAACAKSjQAACAKSjQNnD16lWCICoqKugjKpWKIIiqqipmY61WS7Xs6OiIj4+3Hrm1tTUpKYk+xSYUCkVsbKytov371923b9+BAwfu2+zYsWNr1659oNGeJyv/THP8F2R2TavV5uXlCYXCxx9/XCaTXb9+HSFkMBgIgli2bBmHw/Hw8EhNTR0bG6PaNzQ0PPvsszwe78knn9y7dy/8H62FDgq0bXA4nK+//pp+efz4cerPjpkeotrasEBrtdqWlpb6+nqbRMP5utHR0SdOnLDtzzbr5l+gmeRyuU6nu3jxolqtTkhI2Lx588zMDPXW4ODg0NDQjRs3nJ2dt2/fjhAaGhpSKBQVFRX9/f1KpbK5udl0ToKFCAq0bTz11FNarfaPP/5ACJEkefr06aioKOqt8vJyX19fkUj05ptvGo3GHTt23L59Oz09HSE0Pj4ul8ufeeaZrVu3TkxMZGRkHDlyBCFkMBi8vLzoPZzoUzo6OhQKRUxMzJ49e4xG4xtvvOHp6enn55eTkzMzM9PR0ZGcnJySkkIFHB8fHx0djYmJEQgEPj4+Z86cQQhlZWUNDg4mJyczE7MenBmKGcFiGwp9XZIki4qKhEKhSCQqKioiSbKxsZF+OmhGRsapU6eYHdHpdDt37hQIBMHBwV1dXaaRAwMDL168iBASi8WZmZkIoaqqKoVCceXKldzcXCujTUeYy0gyjzA7Ql+LGdA0DbNBs9K1y5cvX79+/cCBA0uXLnV3d8/JyUlOTu7r6zNt4+bmVlZW1tnZeevWrZGRERaLFRgYSBCEQCCoqKjw9vZ+6CkNsECCeevu7g4MDNy/f39paSlJkj/++GNiYuLrr7/+5ZdfdnZ2btiwYXx8XKPRxMfHf/755yMjIyKRiCRJpVJJEMTNmzdnZmbEYvHJkyd/+OGHmJgYkiQbGhpiY2NJkmxpaZHL5aanLFmypL29Xa/XX7t2LTIyUqfT6fV6kUj0yy+/KJVKFov166+/GgwGiURy4sSJTz75RKFQGI3Gpqam7OxskiSnpqYEAgFJkszErAdnhmJGYLah0detr68PDg7WaDQajSY0NPTUqVMNDQ2vvvoq1Sw9Pb2+vp7ZkUOHDkVGRmq12j///FMgEJSVldGRCwoKPvjgg6mpKW9v75UrV5IkmZqaevToUaVSGRcXZ2W06QhzGUnmEWZH6GsxA9JvMQfNStcqKytTU1OZ802v15t950okksbGRpIks7Oz+Xx+Tk5OXV3dxMTEw8xmgBNYQdvMtm3bqN8ojx8/npiYSB08c+bM77//Hh4evmnTpps3b5o9rSY4ONjb23vRokXPPfecVquVSqVXrlwZHR09evRoWlqaxasEBweLxWIHBwc/P7/q6uqmpqbi4uLe3l5qb9C1a9f6+vqyWKyAgICpqamwsLBz584VFBS4uLiUl5ebxrGYmJXgzFDMCFYuR2tra1MoFC4uLi4uLikpKe3t7RabmXWkra1tx44dixcv5nK59NhSoqKiWltbL1y4sGnTJjabPTAwoFQqIyIiLA6d6WjTx+cykhZTmq0jFgPONuxWuqbT6eiH0llHEARBEAihioqKS5cubdiw4eTJk/7+/s3NzXM5HWALCrTNPP300yRJ/vbbb42NjdHR0dRBo9GYkZFx/m+7d+82PcVsn1MHB4e4uLiampqOjo7ZPk9zc3Ojvjh//rxMJqNuTQYFBVkMuGrVqq6urpUrV3744YdbtmwxfctiYlaCM0MxI1i53GzMtmynf38364iVjYPXrVvX1dXV2toqFovDwsKOHTvm7u6+fPlyZsvZdpWdy0haOZ3ZEYsB6WZmg2ala/7+/p2dnfRNZ4SQVCqtq6szazY9PX3t2jWRSNTY2FhZWcnj8eRyeXV19b59+/bv328lZ4A/KNC2lJiYmJeXFxAQ4OzsTB2RSqU1NTXDw8NTU1ORkZEtLS0IIYPBMFuEpKSkgoKC+Ph4Npttepx5SnNz88aNG7OzsxFCP//8s06nY0YrLCwsLCzcvn17RUXF2bNnTYuIxcSsBGeGYkawcjmaRCKpqam5d++eRqM5cuSIVCp1cnLq6uoyGAx9fX1maZhme/jwYeo+wDfffGP6lqOjY2Bg4KeffioWiyUSyfvvv0/f/Z9t6B5iJOfSEfpaFgNSbzEHzUrXnn/++eXLl+/atWt8fNxoNH711Vc3btyQyWSmbe7du5efn79+/XqBQODh4fHOO+9cunSJJMmBgQGVSvXEE0/MpS8AW1CgbSkxMfHbb7+Vy+X0EYlE8tprrwUFBQmFQqlUGhsb6+bmxuFwXnnlFYsR1q1bx2azze5vWDwlKSmptbXVy8tr7969O3fuzM3NZUbLzMxUqVR8Pl8sFh88eNB0scZMzHpwZihmBCuXo8XExERERPj7+69evToyMjI6Ojo0NHTVqlV+fn5ZWVkKhcLisKSlpXl7e/v4+ERHRzPX5lFRUdTHYmFhYb29vaYF2vpoz30k59IR+lrMgPRbzEGz0jWCIL777rvp6enVq1fzeLzPPvusvr7+scceo9718PDg8Xg+Pj6Tk5PUZ8sBAQGlpaVpaWkcDmfNmjXDw8MfffTRXPoCsAVPs8PLTz/9lJ6efvnyZXsnAgCwP1hBY6S2tnbLli0HDx60dyIAACzAChoAADAFK2gAAMAUFGgAAMAUFGgAAMAUFGgAAMAUFGgAAMDUfwDYVQfvKtlWKgAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R -i forheatmap\n",
    "#We will now compare counts from the two different annotations\n",
    "library('ggplot2')\n",
    "library('RColorBrewer')\n",
    "library('ggrepel')\n",
    "forheatmap$fqfactor <-as.factor(forheatmap$frequency)\n",
    "\n",
    "n <-sum(forheatmap$frequency)\n",
    " \n",
    "plt1<-ggplot (forheatmap, aes(y=allframes,x=annotatedCDS, label=fqfactor))+\n",
    "  geom_point(aes(color=frequency),size=5)+\n",
    "  geom_text(nudge_x = 0, nudge_y = 0)+\n",
    "  scale_color_gradient(low=\"blue\", high=\"red\")+\n",
    "  labs(y='Methyltransferases found with All Frames Translated', x='Methyltransferases found with annotated CDS',\n",
    "      title = paste(c(\"Refseq dsDNA Viral genomes only    n=\",n),collapse=\"\")\n",
    "      )\n",
    "\n",
    "\n",
    "plotlist = list()\n",
    "plotlist[[1]]=plt1\n",
    "\n",
    "\n",
    "\n",
    "pdf(\"figures/control_allframesVSrefseqcds.pdf\")\n",
    "invisible(lapply(plotlist, print))\n",
    "dev.off()\n",
    "\n",
    "print(plt1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "#we will filter for only dsDNA viruses, and also filter for host_lineage to be Archaea, Bacteria or Eukaryota\n",
    "dsDNA<-read.csv('/home/spiridon/Documents/projects/Viral_MT/data/dsDNAviruses.csv',sep='\\t')\n",
    "\n",
    "dsDNA <- dsDNA[which(dsDNA$host_domain=='Archaea' | dsDNA$host_domain=='Bacteria' | dsDNA$host_domain=='Eukaryota'),]\n",
    "allframes <- dsDNA[which(dsDNA$CDStype=='allframes'),]\n",
    "refseq <- dsDNA[which(dsDNA$CDStype=='refseqCDS'),]\n",
    "\n",
    "plt1 <- ggplot(allframes, aes(x=log10(bp),y=virus_MTtotal))+ \n",
    "  labs(y='Number of Methyltransferases per Genome', x='Genome Size (log scale)') + \n",
    "  geom_point(shape=1) + facet_wrap(~ host_domain, ncol=3)+ \n",
    "  ggtitle(paste(c('All Frames Translated (Refseq and Genbank)    n=',nrow(allframes)),collapse=\"\"))\n",
    "\n",
    "plt2 <- ggplot(allframes, aes(x=log10(bp),y=virus_MTtotal/bp*1000000))+ \n",
    "  labs(y='Methyltransferases/Mbp', x='Genome Size (log scale)',caption='Two datapoints have been excluded from Eukaryota\\ny values are ~625 and ~1000') + \n",
    "  geom_point(shape=1) + facet_wrap(~ host_domain, ncol=3)+ \n",
    "  ggtitle(paste(c('All Frames Translated (Refseq and Genbank)    n=',nrow(allframes)),collapse=\"\"))+\n",
    "  ylim(0,100)\n",
    "\n",
    "\n",
    "plt3 <- ggplot(refseq, aes(x=log10(bp),y=virus_MTtotal)) + \n",
    "  labs(y='Number of Methyltransferases per Genome', x='Genome Size (log scale)') + \n",
    "  geom_point(shape=1) + \n",
    "  facet_wrap(~ host_domain, ncol=3)+ \n",
    "  ggtitle(paste(c('Refseq annotated CDS    n=',nrow(refseq)),collapse=\"\"))\n",
    "\n",
    "plt4 <- ggplot(refseq, aes(x=log10(bp),y=virus_MTtotal/numCDS)) + \n",
    "  labs(y='Methyltransferases/CDS', x='Genome Size (log scale)') + \n",
    "  geom_point(shape=1) + \n",
    "  facet_wrap(~ host_domain, ncol=3)+ \n",
    "  ggtitle(paste(c('Refseq annotated CDS    n=',nrow(refseq)),collapse=\"\"))\n",
    "\n",
    "plotlist = list()\n",
    "plotlist[[1]]=plt1\n",
    "plotlist[[2]]=plt2\n",
    "plotlist[[3]]=plt3\n",
    "plotlist[[4]]=plt4\n",
    "pdf(\"figures/dsviruses.pdf\")\n",
    "invisible(lapply(plotlist, print))\n",
    "dev.off()\n",
    "\n",
    "print(plt1)\n",
    "print(plt2)\n",
    "print(plt3)\n",
    "print(plt4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>assembly</th>\n",
       "      <th>CDStype</th>\n",
       "      <th>host_taxid</th>\n",
       "      <th>host_domain</th>\n",
       "      <th>evidence</th>\n",
       "      <th>is_inherited</th>\n",
       "      <th>bp</th>\n",
       "      <th>numcontigs</th>\n",
       "      <th>accession</th>\n",
       "      <th>numCDS</th>\n",
       "      <th>...</th>\n",
       "      <th>pEndo</th>\n",
       "      <th>pRM</th>\n",
       "      <th>T4</th>\n",
       "      <th>T2G</th>\n",
       "      <th>pT4</th>\n",
       "      <th>pT2G</th>\n",
       "      <th>virus_RM</th>\n",
       "      <th>virus_MTtotal</th>\n",
       "      <th>virus_lineage</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>GCF_000847045</td>\n",
       "      <td>allframes</td>\n",
       "      <td>114055;554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>UniProt;Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>330611</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_000852</td>\n",
       "      <td>29604</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>GCF_000871245</td>\n",
       "      <td>allframes</td>\n",
       "      <td>554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>344691</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_009899</td>\n",
       "      <td>28092</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus AR158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2591</th>\n",
       "      <td>GCF_000873685</td>\n",
       "      <td>allframes</td>\n",
       "      <td>114055;554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>UniProt;Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>368683</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_009898</td>\n",
       "      <td>29609</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus NY2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4627</th>\n",
       "      <td>GCF_000898015</td>\n",
       "      <td>allframes</td>\n",
       "      <td>28141</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>358663</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_019401</td>\n",
       "      <td>41265</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Cronobacter phage vB_CsaM_GAP32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5278</th>\n",
       "      <td>GCA_002628245</td>\n",
       "      <td>allframes</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>490380</td>\n",
       "      <td>1</td>\n",
       "      <td>MF403008</td>\n",
       "      <td>51298</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>unclassified bacterial viruses</td>\n",
       "      <td>Agrobacterium phage Atu_ph07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5363</th>\n",
       "      <td>GCF_000905435</td>\n",
       "      <td>allframes</td>\n",
       "      <td>242159</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>186468</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_020852</td>\n",
       "      <td>16730</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Ostreococcus lucimarinus virus OlV5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7001</th>\n",
       "      <td>GCF_000922335</td>\n",
       "      <td>allframes</td>\n",
       "      <td>44056</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>370920</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_024697</td>\n",
       "      <td>46557</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Aureococcus anophagefferens virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12760</th>\n",
       "      <td>GCA_002833785</td>\n",
       "      <td>allframes</td>\n",
       "      <td></td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>inferred_taxonomically</td>\n",
       "      <td>True</td>\n",
       "      <td>349604</td>\n",
       "      <td>2</td>\n",
       "      <td>AF062394;JX997183</td>\n",
       "      <td>28592</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus NYs1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12762</th>\n",
       "      <td>GCA_002833805</td>\n",
       "      <td>allframes</td>\n",
       "      <td></td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>inferred_taxonomically</td>\n",
       "      <td>True</td>\n",
       "      <td>5035</td>\n",
       "      <td>5</td>\n",
       "      <td>AY338214;CVU65736;CVU65738;CVU65737;CVU65739</td>\n",
       "      <td>495</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus SC1A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14083</th>\n",
       "      <td>Partial_NCLDV_Genomes</td>\n",
       "      <td>allframes</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>668031</td>\n",
       "      <td>1</td>\n",
       "      <td>KY322437</td>\n",
       "      <td>57154</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>unclassified viruses</td>\n",
       "      <td>unclassified viruses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14934</th>\n",
       "      <td>GCF_000898015</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>28141</td>\n",
       "      <td>Bacteria</td>\n",
       "      <td>RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>358663</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_019401</td>\n",
       "      <td>545</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Cronobacter phage vB_CsaM_GAP32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15590</th>\n",
       "      <td>GCF_000847045</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>114055;554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>UniProt;Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>330611</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_000852</td>\n",
       "      <td>802</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18495</th>\n",
       "      <td>GCF_000922335</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>44056</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature, RefSeq</td>\n",
       "      <td>False</td>\n",
       "      <td>370920</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_024697</td>\n",
       "      <td>376</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Aureococcus anophagefferens virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19043</th>\n",
       "      <td>GCF_000871245</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>344691</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_009899</td>\n",
       "      <td>814</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus AR158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19397</th>\n",
       "      <td>GCF_000873685</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>114055;554065</td>\n",
       "      <td>Eukaryota</td>\n",
       "      <td>UniProt;Literature</td>\n",
       "      <td>False</td>\n",
       "      <td>368683</td>\n",
       "      <td>1</td>\n",
       "      <td>NC_009898</td>\n",
       "      <td>886</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "      <td>Paramecium bursaria Chlorella virus NY2A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    assembly    CDStype     host_taxid host_domain  \\\n",
       "53             GCF_000847045  allframes  114055;554065   Eukaryota   \n",
       "2355           GCF_000871245  allframes         554065   Eukaryota   \n",
       "2591           GCF_000873685  allframes  114055;554065   Eukaryota   \n",
       "4627           GCF_000898015  allframes          28141    Bacteria   \n",
       "5278           GCA_002628245  allframes                              \n",
       "5363           GCF_000905435  allframes         242159   Eukaryota   \n",
       "7001           GCF_000922335  allframes          44056   Eukaryota   \n",
       "12760          GCA_002833785  allframes                  Eukaryota   \n",
       "12762          GCA_002833805  allframes                  Eukaryota   \n",
       "14083  Partial_NCLDV_Genomes  allframes                              \n",
       "14934          GCF_000898015  refseqCDS          28141    Bacteria   \n",
       "15590          GCF_000847045  refseqCDS  114055;554065   Eukaryota   \n",
       "18495          GCF_000922335  refseqCDS          44056   Eukaryota   \n",
       "19043          GCF_000871245  refseqCDS         554065   Eukaryota   \n",
       "19397          GCF_000873685  refseqCDS  114055;554065   Eukaryota   \n",
       "\n",
       "                         evidence is_inherited      bp  numcontigs  \\\n",
       "53     UniProt;Literature, RefSeq        False  330611           1   \n",
       "2355                   Literature        False  344691           1   \n",
       "2591           UniProt;Literature        False  368683           1   \n",
       "4627                       RefSeq        False  358663           1   \n",
       "5278                                            490380           1   \n",
       "5363           Literature, RefSeq        False  186468           1   \n",
       "7001           Literature, RefSeq        False  370920           1   \n",
       "12760      inferred_taxonomically         True  349604           2   \n",
       "12762      inferred_taxonomically         True    5035           5   \n",
       "14083                                           668031           1   \n",
       "14934                      RefSeq        False  358663           1   \n",
       "15590  UniProt;Literature, RefSeq        False  330611           1   \n",
       "18495          Literature, RefSeq        False  370920           1   \n",
       "19043                  Literature        False  344691           1   \n",
       "19397          UniProt;Literature        False  368683           1   \n",
       "\n",
       "                                          accession  numCDS  \\\n",
       "53                                        NC_000852   29604   \n",
       "2355                                      NC_009899   28092   \n",
       "2591                                      NC_009898   29609   \n",
       "4627                                      NC_019401   41265   \n",
       "5278                                       MF403008   51298   \n",
       "5363                                      NC_020852   16730   \n",
       "7001                                      NC_024697   46557   \n",
       "12760                             AF062394;JX997183   28592   \n",
       "12762  AY338214;CVU65736;CVU65738;CVU65737;CVU65739     495   \n",
       "14083                                      KY322437   57154   \n",
       "14934                                     NC_019401     545   \n",
       "15590                                     NC_000852     802   \n",
       "18495                                     NC_024697     376   \n",
       "19043                                     NC_009899     814   \n",
       "19397                                     NC_009898     886   \n",
       "\n",
       "                         ...                      pEndo  pRM  T4  T2G  pT4  \\\n",
       "53                       ...                          0    0   0    0    0   \n",
       "2355                     ...                          0    0   0    1    0   \n",
       "2591                     ...                          0    0   0    1    0   \n",
       "4627                     ...                          0    0   0    0    0   \n",
       "5278                     ...                          0    0   0    0    0   \n",
       "5363                     ...                          0    0   0    0    0   \n",
       "7001                     ...                          0    0   0    0    0   \n",
       "12760                    ...                          0    0   0    1    0   \n",
       "12762                    ...                          0    0   0    0    0   \n",
       "14083                    ...                          0    0   0    1    0   \n",
       "14934                    ...                          0    0   0    0    0   \n",
       "15590                    ...                          0    0   0    0    0   \n",
       "18495                    ...                          0    0   0    0    0   \n",
       "19043                    ...                          0    0   0    1    0   \n",
       "19397                    ...                          0    0   0    1    0   \n",
       "\n",
       "       pT2G  virus_RM  virus_MTtotal                   virus_lineage  \\\n",
       "53        0         0              5     dsDNA viruses, no RNA stage   \n",
       "2355      0         1             16     dsDNA viruses, no RNA stage   \n",
       "2591      0         1             18     dsDNA viruses, no RNA stage   \n",
       "4627      0         0              5     dsDNA viruses, no RNA stage   \n",
       "5278      0         0              6  unclassified bacterial viruses   \n",
       "5363      0         0              5     dsDNA viruses, no RNA stage   \n",
       "7001      0         0              5     dsDNA viruses, no RNA stage   \n",
       "12760     0         2             14     dsDNA viruses, no RNA stage   \n",
       "12762     0         0              5     dsDNA viruses, no RNA stage   \n",
       "14083     0         1              5            unclassified viruses   \n",
       "14934     0         0              5     dsDNA viruses, no RNA stage   \n",
       "15590     0         2              5     dsDNA viruses, no RNA stage   \n",
       "18495     0         2              5     dsDNA viruses, no RNA stage   \n",
       "19043     0         3             16     dsDNA viruses, no RNA stage   \n",
       "19397     0         3             18     dsDNA viruses, no RNA stage   \n",
       "\n",
       "                                            name  \n",
       "53         Paramecium bursaria Chlorella virus 1  \n",
       "2355   Paramecium bursaria Chlorella virus AR158  \n",
       "2591    Paramecium bursaria Chlorella virus NY2A  \n",
       "4627             Cronobacter phage vB_CsaM_GAP32  \n",
       "5278                Agrobacterium phage Atu_ph07  \n",
       "5363         Ostreococcus lucimarinus virus OlV5  \n",
       "7001           Aureococcus anophagefferens virus  \n",
       "12760   Paramecium bursaria Chlorella virus NYs1  \n",
       "12762   Paramecium bursaria Chlorella virus SC1A  \n",
       "14083                       unclassified viruses  \n",
       "14934            Cronobacter phage vB_CsaM_GAP32  \n",
       "15590      Paramecium bursaria Chlorella virus 1  \n",
       "18495          Aureococcus anophagefferens virus  \n",
       "19043  Paramecium bursaria Chlorella virus AR158  \n",
       "19397   Paramecium bursaria Chlorella virus NY2A  \n",
       "\n",
       "[15 rows x 31 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viraldat_over4MTases = viraldat.loc[viraldat['virus_MTtotal'] > 4]\n",
    "viraldat_over4MTases['name'] = [catalog.get_name(assembly) for assembly in viraldat_over4MTases['assembly'] ]\n",
    "viraldat_over4MTases.to_csv('data/viraldat_over4MTases.csv')\n",
    "viraldat_over4MTases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>assembly</th>\n",
       "      <th>CDStype</th>\n",
       "      <th>bp</th>\n",
       "      <th>numcontigs</th>\n",
       "      <th>numCDS</th>\n",
       "      <th>virus_RM</th>\n",
       "      <th>virus_MTtotal</th>\n",
       "      <th>virus_lineage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Paramecium bursaria Chlorella virus 1</td>\n",
       "      <td>GCF_000847045</td>\n",
       "      <td>allframes</td>\n",
       "      <td>330611</td>\n",
       "      <td>1</td>\n",
       "      <td>29604</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2029</th>\n",
       "      <td>Paramecium bursaria Chlorella virus FR483</td>\n",
       "      <td>GCF_000867825</td>\n",
       "      <td>allframes</td>\n",
       "      <td>321240</td>\n",
       "      <td>1</td>\n",
       "      <td>23966</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2207</th>\n",
       "      <td>Acanthocystis turfacea chlorella virus 1</td>\n",
       "      <td>GCF_000869685</td>\n",
       "      <td>allframes</td>\n",
       "      <td>288047</td>\n",
       "      <td>1</td>\n",
       "      <td>17983</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>Paramecium bursaria Chlorella virus AR158</td>\n",
       "      <td>GCF_000871245</td>\n",
       "      <td>allframes</td>\n",
       "      <td>344691</td>\n",
       "      <td>1</td>\n",
       "      <td>28092</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2591</th>\n",
       "      <td>Paramecium bursaria Chlorella virus NY2A</td>\n",
       "      <td>GCF_000873685</td>\n",
       "      <td>allframes</td>\n",
       "      <td>368683</td>\n",
       "      <td>1</td>\n",
       "      <td>29609</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11089</th>\n",
       "      <td>Only Syngen Nebraska virus 5</td>\n",
       "      <td>GCF_001887825</td>\n",
       "      <td>allframes</td>\n",
       "      <td>327147</td>\n",
       "      <td>1</td>\n",
       "      <td>27110</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12350</th>\n",
       "      <td>Paramecium bursaria Chlorella virus CVA-1</td>\n",
       "      <td>GCA_002827565</td>\n",
       "      <td>allframes</td>\n",
       "      <td>326592</td>\n",
       "      <td>1</td>\n",
       "      <td>24289</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12352</th>\n",
       "      <td>Paramecium bursaria Chlorella virus AL2A</td>\n",
       "      <td>GCA_002827585</td>\n",
       "      <td>allframes</td>\n",
       "      <td>285</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12354</th>\n",
       "      <td>Paramecium bursaria Chlorella virus CA4B</td>\n",
       "      <td>GCA_002827605</td>\n",
       "      <td>allframes</td>\n",
       "      <td>285</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12356</th>\n",
       "      <td>Paramecium bursaria Chlorella virus IL3A</td>\n",
       "      <td>GCA_002827625</td>\n",
       "      <td>allframes</td>\n",
       "      <td>426</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12358</th>\n",
       "      <td>Paramecium bursaria Chlorella virus NE8A</td>\n",
       "      <td>GCA_002827645</td>\n",
       "      <td>allframes</td>\n",
       "      <td>285</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12360</th>\n",
       "      <td>Paramecium bursaria Chlorella virus XZ4C</td>\n",
       "      <td>GCA_002827665</td>\n",
       "      <td>allframes</td>\n",
       "      <td>285</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12758</th>\n",
       "      <td>Paramecium bursaria Chlorella virus NC1A</td>\n",
       "      <td>GCA_002833765</td>\n",
       "      <td>allframes</td>\n",
       "      <td>3107</td>\n",
       "      <td>2</td>\n",
       "      <td>318</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12760</th>\n",
       "      <td>Paramecium bursaria Chlorella virus NYs1</td>\n",
       "      <td>GCA_002833785</td>\n",
       "      <td>allframes</td>\n",
       "      <td>349604</td>\n",
       "      <td>2</td>\n",
       "      <td>28592</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12762</th>\n",
       "      <td>Paramecium bursaria Chlorella virus SC1A</td>\n",
       "      <td>GCA_002833805</td>\n",
       "      <td>allframes</td>\n",
       "      <td>5035</td>\n",
       "      <td>5</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14083</th>\n",
       "      <td>unclassified viruses</td>\n",
       "      <td>Partial_NCLDV_Genomes</td>\n",
       "      <td>allframes</td>\n",
       "      <td>668031</td>\n",
       "      <td>1</td>\n",
       "      <td>57154</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>unclassified viruses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15590</th>\n",
       "      <td>Paramecium bursaria Chlorella virus 1</td>\n",
       "      <td>GCF_000847045</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>330611</td>\n",
       "      <td>1</td>\n",
       "      <td>802</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17110</th>\n",
       "      <td>Only Syngen Nebraska virus 5</td>\n",
       "      <td>GCF_001887825</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>327147</td>\n",
       "      <td>1</td>\n",
       "      <td>357</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18554</th>\n",
       "      <td>Paramecium bursaria Chlorella virus FR483</td>\n",
       "      <td>GCF_000867825</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>321240</td>\n",
       "      <td>1</td>\n",
       "      <td>849</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18821</th>\n",
       "      <td>Acanthocystis turfacea chlorella virus 1</td>\n",
       "      <td>GCF_000869685</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>288047</td>\n",
       "      <td>1</td>\n",
       "      <td>860</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19043</th>\n",
       "      <td>Paramecium bursaria Chlorella virus AR158</td>\n",
       "      <td>GCF_000871245</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>344691</td>\n",
       "      <td>1</td>\n",
       "      <td>814</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19397</th>\n",
       "      <td>Paramecium bursaria Chlorella virus NY2A</td>\n",
       "      <td>GCF_000873685</td>\n",
       "      <td>refseqCDS</td>\n",
       "      <td>368683</td>\n",
       "      <td>1</td>\n",
       "      <td>886</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>dsDNA viruses, no RNA stage</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            name               assembly  \\\n",
       "53         Paramecium bursaria Chlorella virus 1          GCF_000847045   \n",
       "2029   Paramecium bursaria Chlorella virus FR483          GCF_000867825   \n",
       "2207    Acanthocystis turfacea chlorella virus 1          GCF_000869685   \n",
       "2355   Paramecium bursaria Chlorella virus AR158          GCF_000871245   \n",
       "2591    Paramecium bursaria Chlorella virus NY2A          GCF_000873685   \n",
       "11089               Only Syngen Nebraska virus 5          GCF_001887825   \n",
       "12350  Paramecium bursaria Chlorella virus CVA-1          GCA_002827565   \n",
       "12352   Paramecium bursaria Chlorella virus AL2A          GCA_002827585   \n",
       "12354   Paramecium bursaria Chlorella virus CA4B          GCA_002827605   \n",
       "12356   Paramecium bursaria Chlorella virus IL3A          GCA_002827625   \n",
       "12358   Paramecium bursaria Chlorella virus NE8A          GCA_002827645   \n",
       "12360   Paramecium bursaria Chlorella virus XZ4C          GCA_002827665   \n",
       "12758   Paramecium bursaria Chlorella virus NC1A          GCA_002833765   \n",
       "12760   Paramecium bursaria Chlorella virus NYs1          GCA_002833785   \n",
       "12762   Paramecium bursaria Chlorella virus SC1A          GCA_002833805   \n",
       "14083                       unclassified viruses  Partial_NCLDV_Genomes   \n",
       "15590      Paramecium bursaria Chlorella virus 1          GCF_000847045   \n",
       "17110               Only Syngen Nebraska virus 5          GCF_001887825   \n",
       "18554  Paramecium bursaria Chlorella virus FR483          GCF_000867825   \n",
       "18821   Acanthocystis turfacea chlorella virus 1          GCF_000869685   \n",
       "19043  Paramecium bursaria Chlorella virus AR158          GCF_000871245   \n",
       "19397   Paramecium bursaria Chlorella virus NY2A          GCF_000873685   \n",
       "\n",
       "         CDStype      bp  numcontigs  numCDS  virus_RM  virus_MTtotal  \\\n",
       "53     allframes  330611           1   29604         0              5   \n",
       "2029   allframes  321240           1   23966         1              2   \n",
       "2207   allframes  288047           1   17983         0              1   \n",
       "2355   allframes  344691           1   28092         1             16   \n",
       "2591   allframes  368683           1   29609         1             18   \n",
       "11089  allframes  327147           1   27110         0              4   \n",
       "12350  allframes  326592           1   24289         1              4   \n",
       "12352  allframes     285           1      28         0              0   \n",
       "12354  allframes     285           1      30         0              0   \n",
       "12356  allframes     426           1      36         0              0   \n",
       "12358  allframes     285           1      29         0              0   \n",
       "12360  allframes     285           1      29         0              0   \n",
       "12758  allframes    3107           2     318         0              2   \n",
       "12760  allframes  349604           2   28592         2             14   \n",
       "12762  allframes    5035           5     495         0              5   \n",
       "14083  allframes  668031           1   57154         1              5   \n",
       "15590  refseqCDS  330611           1     802         2              5   \n",
       "17110  refseqCDS  327147           1     357         0              4   \n",
       "18554  refseqCDS  321240           1     849         1              2   \n",
       "18821  refseqCDS  288047           1     860         0              1   \n",
       "19043  refseqCDS  344691           1     814         3             16   \n",
       "19397  refseqCDS  368683           1     886         3             18   \n",
       "\n",
       "                     virus_lineage  \n",
       "53     dsDNA viruses, no RNA stage  \n",
       "2029   dsDNA viruses, no RNA stage  \n",
       "2207   dsDNA viruses, no RNA stage  \n",
       "2355   dsDNA viruses, no RNA stage  \n",
       "2591   dsDNA viruses, no RNA stage  \n",
       "11089  dsDNA viruses, no RNA stage  \n",
       "12350  dsDNA viruses, no RNA stage  \n",
       "12352  dsDNA viruses, no RNA stage  \n",
       "12354  dsDNA viruses, no RNA stage  \n",
       "12356  dsDNA viruses, no RNA stage  \n",
       "12358  dsDNA viruses, no RNA stage  \n",
       "12360  dsDNA viruses, no RNA stage  \n",
       "12758  dsDNA viruses, no RNA stage  \n",
       "12760  dsDNA viruses, no RNA stage  \n",
       "12762  dsDNA viruses, no RNA stage  \n",
       "14083         unclassified viruses  \n",
       "15590  dsDNA viruses, no RNA stage  \n",
       "17110  dsDNA viruses, no RNA stage  \n",
       "18554  dsDNA viruses, no RNA stage  \n",
       "18821  dsDNA viruses, no RNA stage  \n",
       "19043  dsDNA viruses, no RNA stage  \n",
       "19397  dsDNA viruses, no RNA stage  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Gathering information for Chlorovirus\n",
    "\n",
    "cv_assemblies = catalog.get_subtree_assemblies(181083)\n",
    "cv_assemblies.add('Partial_NCLDV_Genomes')# Tetraselmis virus 1 (viruses)\n",
    "#removing version\n",
    "cv_assemblies = [el.split('.')[0] for el in cv_assemblies]\n",
    "cv=viraldat.loc[viraldat['assembly'].isin(cv_assemblies)]\n",
    "cv['name'] = [catalog.get_name(assembly) for assembly in cv['assembly'] ]\n",
    "cv.to_csv('data/chlorella_virus.csv')\n",
    "cv[['name','assembly','CDStype','bp','numcontigs','numCDS','virus_RM','virus_MTtotal','virus_lineage']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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