Orchestrating high-throughput genomic analysis with Bioconductor

Wolfgang Huber, Vincent J Carey, Robert Gentleman, Simon Anders, Marc Carlson, Benilton S Carvalho, Hector Corrada Bravo, Sean Davis, Laurent Gatto, Thomas Girke, Raphael Gottardo, Florian Hahne (+14 others)
2015 Nature Methods  
Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical
more » ... They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.
doi:10.1038/nmeth.3252 pmid:25633503 pmcid:PMC4509590 fatcat:crugw7minjdrxjqhjzkw3s7z34