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

Jeremy Goecks, Anton Nekrutenko, James Taylor, Enis Afgan, Guruprasad Ananda, Dannon Baker, Dan Blankenberg, Ramkrishna Chakrabarty, Nate Coraor, Greg Von Kuster, Ross Lazarus, Kanwei Li, James Taylor, Kelly Vincent

Research output: Contribution to journalArticlepeer-review

2763 Scopus citations

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.

Original languageEnglish (US)
Article numberR86
JournalGenome biology
Volume11
Issue number8
DOIs
StatePublished - Aug 25 2010
Externally publishedYes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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