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

• Type of Material: Article
• Authors: Jeremy Goecks, Emory University; Anton Nekrutenko, Penn State University; James Taylor, Emory University
• Language: English
• Date: 2010-08-25
• Publisher: BioMed Central
• Publication Version: Final Published Version
• Copyright Statement: © 2010 Goecks et al.; licensee BioMed Central Ltd.
• License: Creative Commons Attribution 2.0 Generic
• Final Published Version (URL): http://genomebiology.com/2010/11/8/R86
• Title of Journal or Parent Work: Genome Biology
• ISSN: 1465-6906
• Volume: 11
• Issue: 8
• Start Page: 1
• End Page: 13
• Grant/Funding Information: Additional funding is provided, in part, under a grant with the Pennsylvania Department of Health using Tobacco Settlement Funds. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions.; This work was supported by NIH grants HG004909 (AN and JT), HG005133 (JT and AN), and HG005542 (JT and AN), by NSF grant DBI-0850103 (AN and JT) and by funds from the Huck Institutes for the Life Sciences and the Institute for CyberScience at Penn State.
• Research Categories: Biology, Bioinformatics

Abstract

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.