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Community-driven computational biology with Debian Linux

BACKGROUND: The Open Source movement and its technologies are popular in the bioinformatics community because they provide freely available tools and resources for research. In order to feed the steady demand for updates on software and associated data, a service infrastructure is required for shari...

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Autores principales: Möller, Steffen, Krabbenhöft, Hajo Nils, Tille, Andreas, Paleino, David, Williams, Alan, Wolstencroft, Katy, Goble, Carole, Holland, Richard, Belhachemi, Dominique, Plessy, Charles
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040531/
https://www.ncbi.nlm.nih.gov/pubmed/21210984
http://dx.doi.org/10.1186/1471-2105-11-S12-S5
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author Möller, Steffen
Krabbenhöft, Hajo Nils
Tille, Andreas
Paleino, David
Williams, Alan
Wolstencroft, Katy
Goble, Carole
Holland, Richard
Belhachemi, Dominique
Plessy, Charles
author_facet Möller, Steffen
Krabbenhöft, Hajo Nils
Tille, Andreas
Paleino, David
Williams, Alan
Wolstencroft, Katy
Goble, Carole
Holland, Richard
Belhachemi, Dominique
Plessy, Charles
author_sort Möller, Steffen
collection PubMed
description BACKGROUND: The Open Source movement and its technologies are popular in the bioinformatics community because they provide freely available tools and resources for research. In order to feed the steady demand for updates on software and associated data, a service infrastructure is required for sharing and providing these tools to heterogeneous computing environments. RESULTS: The Debian Med initiative provides ready and coherent software packages for medical informatics and bioinformatics. These packages can be used together in Taverna workflows via the UseCase plugin to manage execution on local or remote machines. If such packages are available in cloud computing environments, the underlying hardware and the analysis pipelines can be shared along with the software. CONCLUSIONS: Debian Med closes the gap between developers and users. It provides a simple method for offering new releases of software and data resources, thus provisioning a local infrastructure for computational biology. For geographically distributed teams it can ensure they are working on the same versions of tools, in the same conditions. This contributes to the world-wide networking of researchers.
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spelling pubmed-30405312011-02-18 Community-driven computational biology with Debian Linux Möller, Steffen Krabbenhöft, Hajo Nils Tille, Andreas Paleino, David Williams, Alan Wolstencroft, Katy Goble, Carole Holland, Richard Belhachemi, Dominique Plessy, Charles BMC Bioinformatics Proceedings BACKGROUND: The Open Source movement and its technologies are popular in the bioinformatics community because they provide freely available tools and resources for research. In order to feed the steady demand for updates on software and associated data, a service infrastructure is required for sharing and providing these tools to heterogeneous computing environments. RESULTS: The Debian Med initiative provides ready and coherent software packages for medical informatics and bioinformatics. These packages can be used together in Taverna workflows via the UseCase plugin to manage execution on local or remote machines. If such packages are available in cloud computing environments, the underlying hardware and the analysis pipelines can be shared along with the software. CONCLUSIONS: Debian Med closes the gap between developers and users. It provides a simple method for offering new releases of software and data resources, thus provisioning a local infrastructure for computational biology. For geographically distributed teams it can ensure they are working on the same versions of tools, in the same conditions. This contributes to the world-wide networking of researchers. BioMed Central 2010-12-21 /pmc/articles/PMC3040531/ /pubmed/21210984 http://dx.doi.org/10.1186/1471-2105-11-S12-S5 Text en Copyright ©2010 Möller 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 Proceedings
Möller, Steffen
Krabbenhöft, Hajo Nils
Tille, Andreas
Paleino, David
Williams, Alan
Wolstencroft, Katy
Goble, Carole
Holland, Richard
Belhachemi, Dominique
Plessy, Charles
Community-driven computational biology with Debian Linux
title Community-driven computational biology with Debian Linux
title_full Community-driven computational biology with Debian Linux
title_fullStr Community-driven computational biology with Debian Linux
title_full_unstemmed Community-driven computational biology with Debian Linux
title_short Community-driven computational biology with Debian Linux
title_sort community-driven computational biology with debian linux
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040531/
https://www.ncbi.nlm.nih.gov/pubmed/21210984
http://dx.doi.org/10.1186/1471-2105-11-S12-S5
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