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To ensure that our bioinformatics analyses are reproducible and available to fellow researchers, we have adopted a philosophy of open source and work with public software repositories to release it.
easily downloaded packages: on Bioconductor or as an installable, Bioconductor-compatible package on github.
software related to downstream analyses of next-gen sequencing data (NGS).
software integration with genetic data (funciSNP, funciVar), chromatin state identification, allelic imbalances, integration with expression data (HiCAGE, ELMER), and identification of potential disruptive sequences (motifBreakR)
[Simon to add context]
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