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Read the paper: Seah BK and Gruber-Vodicka HR (2015). gbtools: Interactive visualization of metagenome bins in R. Front. Microbiol. 6:1451.
Assuming you already have metagenomes assembled, coverage calculated by mapping, marker genes identified and taxonomically classified. What next?
- Download the latest release of gbtools
- Install package dependencies in R (
sp
andplyr
packages) - Install
gbtools
package in R - Format input data, and check with
input_validator.pl
(in theaccessory_scripts
folder) - Load your data into R:
A <- gbt(covstats=c("coverage_file1.tab","coverage_file2.tab"),mark="taxonomic_markers.tab",marksource="source",ssu="ssu_markers.tab",trna="trna_markers.tab")
- Plot GC-coverage plots:
plot(A, slice=1)
- Select contigs by coverage/gc/length cutoffs:
A.bin1 <- winnow(A,gc=c(0.25,0.35),len=c(10000,Inf),covmin=100,covmax=Inf,slice=1)
- Overlay bin on plot:
points(A.bin1,slice=1)
- Plot differential-coverage plot:
plot(A,slice=c(1,2))
- Overlay bin on differential coverage plot:
points(A.bin1, slice=c(1,2))
- Choose bin by interactively selecting a cloud of points on plot:
A.bin2 <- choosebin(A, slice=c(1,2))
- View summary statistics for a bin:
summary(A.bin2)
Problems with using gbtools
? Create a new issue using the GitHub issue-tracker on the right. Or send me an email, with "gbtools help" in the subject line.
Problems with input file formats? Read [the appendix](Appendix.\ Input\ file\ formats) and use the input_validator.pl
script to check your input files.
Citation: Seah BK and Gruber-Vodicka HR (2015). gbtools: Interactive visualization of metagenome bins in R. Front. Microbiol. 6:1451. doi: 10.3389/fmicb.2015.01451
Cite dependencies if you use them:
- R - R Core Team. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (http://www.R-project.org/)
- BBMap - Bushnell B. 2015. BBMap (http://sourceforge.net/projects/bbmap/)
- AMPHORA2 - Wu M, Scott AJ. 2012. Bioinformatics 28 (7) : 1033-1034.
- barrnap - Seemann T. 2014. barrnap (http://www.vicbioinformatics.com/software.barrnap.shtml)
- Usearch - Edgar RC 2010. Bioinformatics 26 (19) : 2460-2461.
- Vsearch - https://github.com/torognes/vsearch
- ARB-SILVA - Quast C et al. 2013. Nucleic Acids Research 41 (D1) : D590-D596.
- tRNAscan-SE - Lowe T, Eddy S. 1997. Nucleic Acids Research 25 : 955-964.
- Blobology - Kumar S et al. 2013. Frontiers in Genetics 4 : 237
Contact: Brandon Seah (kbseah@mpi-bremen.de
)