Orchestrating high-throughput genomic analysis with Bioconductor.

Détails

ID Serval
serval:BIB_7FF1BD531420
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Orchestrating high-throughput genomic analysis with Bioconductor.
Périodique
Nature methods
Auteur⸱e⸱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
Statut éditorial
Publié
Date de publication
02/2015
Peer-reviewed
Oui
Volume
12
Numéro
2
Pages
115-121
Langue
anglais
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
Résumé
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.
Mots-clé
Computational Biology, Gene Expression Profiling, Genomics/methods, High-Throughput Screening Assays/methods, Programming Languages, Software, User-Computer Interface
Pubmed
Web of science
Création de la notice
28/02/2022 12:45
Dernière modification de la notice
23/03/2024 8:24
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