Open Source C Bio-Informatics Software

SAM (Sequence Alignment/Map) is a flexible generic format for storing nucleotide sequence alignment. SAMtools provide efficient utilities on manipulating alignments in the SAM format. The main samtools source code repository moved to GitHub in March 2012. For ongoing development since then, see http://github.com/samtools/samtools

Design PCR primers from DNA sequence. Widely used (190k Google hits for "primer3"). From mispriming libraries to sequence quality data to the generation of internal oligos, primer3 does it. C&perl. Developers/testers/documenters needed.

The SourceForge OpenRasMol project is an adjunct to the RasMol and OpenrasMol project at http://rasmol.org. It is hoped that the SourceForge OpenRasMol project will provide a convenient focal point for active collaborative contributions.

The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published in the following paper: Yang Liao, Gordon K Smyth and Wei Shi. "The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote", Nucleic Acids Research, 2013, 41(10):e108

BWA is a program for aligning sequencing reads against a large reference genome (e.g. human genome). It has two major components, one for read shorter than 150bp and the other for longer reads.

The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more.

kallisto is a program for near-optimal quantification of transcript abundances from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the idea of using pseudoalignment to quickly determine reads and targets’ compatibility, with no need for alignment. According to benchmarks done on a Mac desktop computer, kallisto can quantify 30 million human bulk RNA-seq reads in less than 3 minutes with just the read sequences and a transcriptome index, that in itself can take more than 10 minutes to build. And since it uses pseudoalignment, it is robust to errors in the reads and preserves the key information needed for quantification. This makes kallisto not only fast but highly accurate as well. In many benchmarks, it even greatly outperforms existing tools.

MUMmer is a modular system for the rapid whole genome alignment of finished or draft sequence. This package provides an efficient suffix tree library, seed-and-extend alignment, SNP detection, repeat detection, and visualization tools.