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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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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. |
format | Text |
id | pubmed-2945788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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