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Integrating diverse databases into an unified analysis framework: a Galaxy approach

Recent technological advances have lead to the ability to generate large amounts of data for model and non-model organisms. Whereas, in the past, there have been a relatively small number of central repositories that serve genomic data, an increasing number of distinct specialized data repositories...

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Detalles Bibliográficos
Autores principales: Blankenberg, Daniel, Coraor, Nathan, Von Kuster, Gregory, Taylor, James, Nekrutenko, Anton
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092608/
https://www.ncbi.nlm.nih.gov/pubmed/21531983
http://dx.doi.org/10.1093/database/bar011
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author Blankenberg, Daniel
Coraor, Nathan
Von Kuster, Gregory
Taylor, James
Nekrutenko, Anton
author_facet Blankenberg, Daniel
Coraor, Nathan
Von Kuster, Gregory
Taylor, James
Nekrutenko, Anton
author_sort Blankenberg, Daniel
collection PubMed
description Recent technological advances have lead to the ability to generate large amounts of data for model and non-model organisms. Whereas, in the past, there have been a relatively small number of central repositories that serve genomic data, an increasing number of distinct specialized data repositories and resources have been established. Here, we describe a generic approach that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy (http://usegalaxy.org). This approach allows the simplified coupling of external data resources with the data analysis tools available to Galaxy users, while leveraging the native data mining facilities of the external data resources. Database URL: http://usegalaxy.org
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spelling pubmed-30926082011-05-11 Integrating diverse databases into an unified analysis framework: a Galaxy approach Blankenberg, Daniel Coraor, Nathan Von Kuster, Gregory Taylor, James Nekrutenko, Anton Database (Oxford) Original Article Recent technological advances have lead to the ability to generate large amounts of data for model and non-model organisms. Whereas, in the past, there have been a relatively small number of central repositories that serve genomic data, an increasing number of distinct specialized data repositories and resources have been established. Here, we describe a generic approach that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy (http://usegalaxy.org). This approach allows the simplified coupling of external data resources with the data analysis tools available to Galaxy users, while leveraging the native data mining facilities of the external data resources. Database URL: http://usegalaxy.org Oxford University Press 2011-04-29 /pmc/articles/PMC3092608/ /pubmed/21531983 http://dx.doi.org/10.1093/database/bar011 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Blankenberg, Daniel
Coraor, Nathan
Von Kuster, Gregory
Taylor, James
Nekrutenko, Anton
Integrating diverse databases into an unified analysis framework: a Galaxy approach
title Integrating diverse databases into an unified analysis framework: a Galaxy approach
title_full Integrating diverse databases into an unified analysis framework: a Galaxy approach
title_fullStr Integrating diverse databases into an unified analysis framework: a Galaxy approach
title_full_unstemmed Integrating diverse databases into an unified analysis framework: a Galaxy approach
title_short Integrating diverse databases into an unified analysis framework: a Galaxy approach
title_sort integrating diverse databases into an unified analysis framework: a galaxy approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092608/
https://www.ncbi.nlm.nih.gov/pubmed/21531983
http://dx.doi.org/10.1093/database/bar011
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