github.com - This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in:
Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomesMads...
github.com - A program for unsupervised binning of metagenomic contigs by using nucleotide composition, coverage data in multiple samples and linkage data from paired end reads.
Warning! This software is to be considered under development. Functionality and the...
seqmule.openbioinformatics.org - SeqMule takes single-end or paird-end FASTQ or BAM files, generates a script consisting of more than 10 popular alignment, analysis tools and runs the script line by line. Users can change the pipeline or fine-tune the parameters by modifying its...
http://www.htslib.org/ - Samtools is a suite of programs for interacting with high-throughput sequencing data. It consists of three separate repositories:
SamtoolsReading/writing/editing/indexing/viewing SAM/BAM/CRAM formatBCFtoolsReading/writing BCF2/VCF/gVCF files and...
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...
The Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine (CIBM) is committed to shortening the process of obtaining novel discoveries to achieve distinctively better outcomes in clinical practice and translational...
http://json.org/ - JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming...
BioRuby is a package of Open Source Ruby code, with classes for DNA and protein sequence analysis, alignment, database parsing, and other Bioinformatics tools.BioRuby project provides an integrated environment in bioinformatics for the Ruby...