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Orchestrating high-throughput genomic analysis with Bioconductor

Morgan, Martin, Carey, Vincent, Gentelman, Robert, Carlson, Marc, Carvalho, Benilton, Corrada Bravo, Hector, Davis, Sean, Gatto, Laurent, Girke, Thomas, Gottardo, Raphael, Hahne, Florian, Hansen, Kasper, Irizarry, Raphael, Lawrence, Michael, Love, Michael, MacDonald, James, Obenchain, Valerie, Oles, Andrzej, Pages, Herve, Reyes, Alejandro, Anders, Simon, Shannon, Paul, Smyth, Gordon, Tenenbaum, Dan and Waldron, Levi (2015) Orchestrating high-throughput genomic analysis with Bioconductor. Orchestrating high-throughput genomic analysis with Bioconductor.


Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput genomic data. Core data structures and software infrastructure are based on the statistical programming language R and form the basis for over 936 interoperable packages contributed by a large, diverse community of scientists. These packages cover a broad spectrum of bioinformatic data analysis, including
many applications of nucleotide sequencing, expression and genotyping microarrays, proteomics and images. Packages undergo
a formal initial review as well as continuous automated testing. The aims of the
project include lowering the barriers of entry into this interdisciplinary research
area, enhancing collaboration, the pursuit of scientific excellence, rapid development,
and support for reproducible computational research.
We present an overview for prospective users and contributors.

Item Type: Article
Keywords: Biological sciences,Computational biology and bioinformatics,Computational platforms and environments
Date Deposited: 18 Nov 2015 00:45
Last Modified: 18 Nov 2015 00:45


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