Orchestrating high-throughput genomic analysis with Bioconductor.

TitleOrchestrating high-throughput genomic analysis with Bioconductor.
Publication TypeJournal Article
AuthorsHuber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HCorrada, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M
JournalNat Methods
Computational Biology, Gene Expression Profiling, Genomics, High-Throughput Screening Assays, Programming Languages, software, User-Computer Interface

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.

PubMed ID25633503
PubMed Central IDPMC4509590
Grant ListP41 HG004059 / HG / NHGRI NIH HHS / United States
U41 HG004059 / HG / NHGRI NIH HHS / United States
U41HG004059 / HG / NHGRI NIH HHS / United States