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

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.

• Publication year

  2010

• Venue

  Genome Biology

• Publication date

  2010-08-25

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1186/gb-2010-11-8-r86PMID 20738864PMCID 2945788
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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