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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 tr...

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Detalles Bibliográficos
Autores principales: Goecks, Jeremy, Nekrutenko, Anton, Taylor, James
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945788/
https://www.ncbi.nlm.nih.gov/pubmed/20738864
http://dx.doi.org/10.1186/gb-2010-11-8-r86
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author Goecks, Jeremy
Nekrutenko, Anton
Taylor, James
author_facet Goecks, Jeremy
Nekrutenko, Anton
Taylor, James
author_sort Goecks, Jeremy
collection PubMed
description 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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spelling pubmed-29457882010-09-28 Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences Goecks, Jeremy Nekrutenko, Anton Taylor, James Genome Biol Software 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. BioMed Central 2010 2010-08-25 /pmc/articles/PMC2945788/ /pubmed/20738864 http://dx.doi.org/10.1186/gb-2010-11-8-r86 Text en Copyright ©2010 Goecks et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Goecks, Jeremy
Nekrutenko, Anton
Taylor, James
Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title_full Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title_fullStr Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title_full_unstemmed Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title_short Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
title_sort galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945788/
https://www.ncbi.nlm.nih.gov/pubmed/20738864
http://dx.doi.org/10.1186/gb-2010-11-8-r86
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AT taylorjames galaxyacomprehensiveapproachforsupportingaccessiblereproducibleandtransparentcomputationalresearchinthelifesciences