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Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
Open accessAbstract
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.
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Cited by
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Nextflow enables reproducible computational workflows
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Metadata
- Authors
- Goecks, J., Nekrutenko, A., Taylor, J., & The Galaxy Team
- Venue
- Genome Biology
- Published
- 2010-08-25
- Volume
- 11
- Issue
- 8
- Pages
- R86-R86
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2136482257
- Cited by
- 3,453
- References
- 5
- FWCI
- 545.38
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/2.0/ (tdm)
- creativecommons.org/licenses/by/2.0/ (vor)
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- Goecks, J., Nekrutenko, A., Taylor, J., & The Galaxy Team. (2010). Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biology. https://doi.org/10.1186/gb-2010-11-8-r86
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
