Orchestrating high-throughput genomic analysis with Bioconductor
- Author(s)
- Huber, W; Carey, VJ; Gentleman, R; Anders, S; Carlson, M; Carvalho, BS; Bravo, HC; DAVIS, S; Gatto, L; Girke, T; Gottardo, R; Hahne, F; Hansen, KD; Irizarry, RA; Lawrence, M; Love, MI; MacDonald, J; Obenchain, V; Oles, AK; Pages, H; Reyes, A; Shannon, P; Smyth, GK; Tenenbaum, D; Waldron, L; Morgan, M;
- Details
- Publication Year 2015-01-29,Volume 12,Issue #2,Page 115-21
- Journal Title
- Nat Methods
- Publication Type
- Journal Article
- 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.
- Publisher
- NPG
- Research Division(s)
- Bioinformatics
- Publisher's Version
- https://doi.org/10.1038/nmeth.3252
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2015-02-05 03:45:51
Last Modified: 2015-05-12 09:36:41