Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/355164
Type: Artigo
Title: Orchestrating high-throughput genomic analysis with bioconductor
Author: Huber, Wolfgang
Carey, Vincent J.
Gentleman, Robert
Anders, Simon
Carlson, Marc
Carvalho, Benilton S.
Bravo, Hector Corrada
Davis, Sean
Gatto, Laurent
Girke, Thomas
Gottardo, Raphael
Hahne, Florian
Hansen, Kasper D.
Irizarry, Rafael A.
Lawrence, Michael
Love, Michael I.
MacDonald, James
Obenchain, Valerie
Oles, Andrzej K.
Pages, Herve
Reyes, Alejandro
Shannon, Paul
Smyth, Gordon K.
Tenenbaum, Dan
Waldron, Levi
Morgan, Martin
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
Subject: Biologia computacional
Software gratuito
Country: Reino Unido
Editor: Nature
Rights: Fechado
Identifier DOI: 10.1038/NMETH.3252
Address: https://www.nature.com/articles/nmeth.3252
Date Issue: 2015
Appears in Collections:IMECC - Artigos e Outros Documentos

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