Orchestrating high-throughput genomic analysis with Bioconductor.

Details

Serval ID
serval:BIB_7FF1BD531420
Type
Article: article from journal or magazin.
Collection
Publications
Title
Orchestrating high-throughput genomic analysis with Bioconductor.
Journal
Nature methods
Author(s)
Huber W., Carey V.J., Gentleman R., Anders S., Carlson M., Carvalho B.S., Bravo H.C., Davis S., Gatto L., Girke T., Gottardo R., Hahne F., Hansen K.D., Irizarry R.A., Lawrence M., Love M.I., MacDonald J., Obenchain V., Oleś A.K., Pagès H., Reyes A., Shannon P., Smyth G.K., Tenenbaum D., Waldron L., Morgan M.
ISSN
1548-7105 (Electronic)
ISSN-L
1548-7091
Publication state
Published
Issued date
02/2015
Peer-reviewed
Oui
Volume
12
Number
2
Pages
115-121
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Review
Publication Status: ppublish
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.
Keywords
Computational Biology, Gene Expression Profiling, Genomics/methods, High-Throughput Screening Assays/methods, Programming Languages, Software, User-Computer Interface
Pubmed
Web of science
Create date
28/02/2022 12:45
Last modification date
23/03/2024 8:24
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