Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

被引：2484

作者：

Goecks, Jeremy ^{[2
,3
]}

Nekrutenko, Anton ^{[1
]}

Taylor, James ^{[2
,3
]}

机构：

[1] Penn State Univ, Ctr Comparat Genom & Bioinformat, University Pk, PA 16802 USA

[2] Emory Univ, Dept Biol, Atlanta, GA 30322 USA

[3] Emory Univ, Dept Math & Comp Sci, Atlanta, GA 30322 USA

来源：

GENOME BIOLOGY | 2010年 / 11卷 / 08期

基金：

美国国家科学基金会;

关键词：

CHIP-SEQ; RNA-SEQ; BIOINFORMATICS; FRAMEWORK; CHROMATIN; BIOLOGY; TOOL;

D O I：

10.1186/gb-2010-11-8-r86

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. Galaxy http://usegalaxy.org, an open web-based platform for genomic research, addresses these problems. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis.

引用

页数：13

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