| Literature DB >> 25633503 |
Wolfgang Huber1, Vincent J Carey2, Robert Gentleman3, Simon Anders1, Marc Carlson4, Benilton S Carvalho5, Hector Corrada Bravo6, Sean Davis7, Laurent Gatto8, Thomas Girke9, Raphael Gottardo10, Florian Hahne11, Kasper D Hansen12, Rafael A Irizarry13, Michael Lawrence3, Michael I Love13, James MacDonald14, Valerie Obenchain4, Andrzej K Oleś1, Hervé Pagès4, Alejandro Reyes1, Paul Shannon4, Gordon K Smyth15, Dan Tenenbaum4, Levi Waldron16, Martin Morgan4.
Abstract
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 applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.Entities:
Mesh:
Year: 2015 PMID: 25633503 PMCID: PMC4509590 DOI: 10.1038/nmeth.3252
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547