Orchestrating high-throughput genomic analysis with Bioconductor.
Orchestrating high-throughput genomic analysis with Bioconductor.
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DOI：
10.1038/nmeth.3252
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发表时间：
2015-02
期刊：
影响因子：
48
通讯作者：
Morgan M
中科院分区：
文献类型：
--
作者：
Huber W;Carey VJ;Gentleman R;Anders S;Carlson M;Carvalho BS;Bravo HC;Davis S;Gatto L;Girke T;Gottardo R;Hahne F;Hansen KD;Irizarry RA;Lawrence M;Love MI;MacDonald J;Obenchain V;Oleś AK;Pagès H;Reyes A;Shannon P;Smyth GK;Tenenbaum D;Waldron L;Morgan M
Bioconductor是一个开源、开放开发的软件项目，用于分析和理解基因组学和分子生物学中的高通量数据。该项目旨在促进跨学科研究、合作和科学软件的快速开发。基于统计编程语言R，Bioconductor由934个可互操作的软件包组成，这些软件包由一个庞大的、多样化的科学家社区贡献。软件包涵盖了一系列生物信息学和统计学应用。它们经过正式的初步审查和持续的自动化测试。我们为潜在的用户和贡献者提供了一个概述。
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.