Metabarcodingfungi-milpa. Master project
AUTHOR: Biol. Olivia Rojo Nava
Contains the scripts to analyse the mycobiome of samples obtained from soil
AMPtk(http://amptk.readthedocs.io/)
Citation
Palmer JM, Jusino MA, Banik MT, Lindner DL. 2018. Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data. PeerJ 6:e4925; DOI 10.7717/peerj.4925.
https://peerj.com/articles/4925/
Directory Tepoztlan_ITS/bin has all the scripts (numbered) and the R functions used for data analysis and plotting.
The repository is organized as follows:
| +--bin/
| +-- 1_quality_check.sh
| +-- 2_copytepozseqs.sh
| +-- 3_cleaning.sh
| +-- 4_amptkillumina.sh
| +--data/
| +--
| +--figures/
| +--
1. Script 1_quality_check.sh
Performs the fastQC analysis in each sample
2. Script 2_copytepozseqs.sh
Copy all the Raw sequences with .gz extension from /data/raw/run-144833689 to the folder tepoz located in ../data/tepoz/
3. Script 3_cleaning.sh
This script cleans the sequences R1 & R2 using Trimmomatic and the Option SLIDINGWINDOW
The output are several files with extension fastq.gz which will be then used to complete the fastQC analysis
4. Script 4_amptkillumina.sh
Analyse mycobiome for NGS dataprocess demultiplexed Illumina MiSeq 2x300 read, using the amptk pipeline