TY - Generic T1 - Orchestrating high-throughput genomic analysis with Bioconductor. Y1 - 2015 A1 - Huber, Wolfgang A1 - Carey, Vincent J A1 - Gentleman, Robert A1 - Anders, Simon A1 - Carlson, Marc A1 - Carvalho, Benilton S A1 - Bravo, Héctor Corrada A1 - Davis, Sean A1 - Gatto, Laurent A1 - Girke, Thomas A1 - Gottardo, Raphael A1 - Hahne, Florian A1 - Hansen, Kasper D A1 - Irizarry, Rafael A A1 - Lawrence, Michael A1 - Love, Michael I A1 - MacDonald, James A1 - Obenchain, Valerie A1 - Oleś, Andrzej K A1 - Pagès, Hervé A1 - Reyes, Alejandro A1 - Shannon, Paul A1 - Smyth, Gordon K A1 - Tenenbaum, Dan A1 - Waldron, Levi A1 - Morgan, Martin KW - Computational Biology KW - Gene Expression Profiling KW - Genomics KW - High-Throughput Screening Assays KW - Programming Languages KW - software KW - User-Computer Interface AB -

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.

JA - Nat Methods VL - 12 CP - 2 M3 - 10.1038/nmeth.3252 ER -