Artículos de revistas
Orchestrating High-throughput Genomic Analysis With Bioconductor
Registro en:
Orchestrating High-throughput Genomic Analysis With Bioconductor. Nature Publishing Group, v. 12, p. 115-121 FEB-2015.
1548-7091
WOS:000348862500011
10.1038/NMETH.3252
Autor
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
Institución
Resumen
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. 12 2
115 121 National Human Genome Research Institute of the US National Institutes of Health [U41HG004059] US National Science Foundation [1247813]