BOL

Genetic variants discovery tool

broadinstitute.github.io - Picard is a set of command line tools for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. These file formats are defined in the Hts-specs repository. See especially the SAM specification and the VCF...

bioinformatics.oxfordjournals.org - This is the andi program for estimating the evolutionary distance between closely related genomes. These distances can be used to rapidly infer phylogenies for big sets of genomes. Because andi does not compute full alignments, it is so efficient...

http://docs.bpipe.org/ - Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'. January 20th, 2016 - New! Bpipe 0.9.9 released! Download latest, all Documentation Mailing List (Google...

apps.bioconnector.virginia.edu - Coverage / Read Count Calculator Calculate how much sequencing you need to hit a target depth of coverage (or vice versa). Instructions: set the read length/configuration and genome size, then select what you want to calculate. Written by Stephen...

journal.frontiersin.org - We have developed gbtools, a software package that allows users to visualize metagenomic assemblies by plotting coverage (sequencing depth) and GC values of contigs, and also to annotate the plots with taxonomic information. Different sets of...

www.atgc.org - PhyloGrapher is a program designed to visualize and study evolutionary relationships within families of homologous genes or proteins (elements). PhyloGrapher is a drawing tool that generates custom graphs for a given set of elements....

synvisio.github.io - SynVisio lets you explore the results of McScanX a popular synteny and collinearity detection toolkit and generate publication ready images. SynVisio requires two files to run: The simplified gff file that was used as an...

github.com - panacus is a tool for calculating statistics for GFA files. It supports GFA files with P and W lines, but requires that the graph is blunt, i.e., nodes do not overlap and consequently, each link (L) points...

Imagine comparing humans and chimpanzees to discover which genes make us different. You have millions of RNA-sequencing reads—but there is a catch: the computer may align these reads more easily to one species' genome than the other.