Orchestrating High-throughput Genomic Analysis with Bioconductor

Overview

Journal Nat Methods

Specialties Biomedical Engineering
Pathology

Date 2015 Jan 31

PMID 25633503

Citations 1805

Authors

Wolfgang Huber

Vincent J Carey

Robert Gentleman

Simon Anders

Marc Carlson

Benilton S Carvalho

Hector Corrada Bravo

Sean Davis

Laurent Gatto

Thomas Girke

Raphael Gottardo

Florian Hahne

Kasper D Hansen

Rafael A Irizarry

Michael Lawrence

Michael I Love

James MacDonald

Valerie Obenchain

Andrzej K Oles

Herve Pages

Alejandro Reyes

Paul Shannon

Gordon K Smyth

Dan Tenenbaum

Levi Waldron

Martin Morgan

Affiliations

Soon will be listed here.

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.

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