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The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
The Taverna workflow tool suite (http://www.taverna.org.uk) is designed to combine distributed Web Services and/or local tools into complex analysis pipelines. These pipelines can be executed on local desktop machines or through larger infrastructure (such as supercomputers, Grids or cloud environme...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692062/ https://www.ncbi.nlm.nih.gov/pubmed/23640334 http://dx.doi.org/10.1093/nar/gkt328 |
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author | Wolstencroft, Katherine Haines, Robert Fellows, Donal Williams, Alan Withers, David Owen, Stuart Soiland-Reyes, Stian Dunlop, Ian Nenadic, Aleksandra Fisher, Paul Bhagat, Jiten Belhajjame, Khalid Bacall, Finn Hardisty, Alex Nieva de la Hidalga, Abraham Balcazar Vargas, Maria P. Sufi, Shoaib Goble, Carole |
author_facet | Wolstencroft, Katherine Haines, Robert Fellows, Donal Williams, Alan Withers, David Owen, Stuart Soiland-Reyes, Stian Dunlop, Ian Nenadic, Aleksandra Fisher, Paul Bhagat, Jiten Belhajjame, Khalid Bacall, Finn Hardisty, Alex Nieva de la Hidalga, Abraham Balcazar Vargas, Maria P. Sufi, Shoaib Goble, Carole |
author_sort | Wolstencroft, Katherine |
collection | PubMed |
description | The Taverna workflow tool suite (http://www.taverna.org.uk) is designed to combine distributed Web Services and/or local tools into complex analysis pipelines. These pipelines can be executed on local desktop machines or through larger infrastructure (such as supercomputers, Grids or cloud environments), using the Taverna Server. In bioinformatics, Taverna workflows are typically used in the areas of high-throughput omics analyses (for example, proteomics or transcriptomics), or for evidence gathering methods involving text mining or data mining. Through Taverna, scientists have access to several thousand different tools and resources that are freely available from a large range of life science institutions. Once constructed, the workflows are reusable, executable bioinformatics protocols that can be shared, reused and repurposed. A repository of public workflows is available at http://www.myexperiment.org. This article provides an update to the Taverna tool suite, highlighting new features and developments in the workbench and the Taverna Server. |
format | Online Article Text |
id | pubmed-3692062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36920622013-06-25 The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud Wolstencroft, Katherine Haines, Robert Fellows, Donal Williams, Alan Withers, David Owen, Stuart Soiland-Reyes, Stian Dunlop, Ian Nenadic, Aleksandra Fisher, Paul Bhagat, Jiten Belhajjame, Khalid Bacall, Finn Hardisty, Alex Nieva de la Hidalga, Abraham Balcazar Vargas, Maria P. Sufi, Shoaib Goble, Carole Nucleic Acids Res Articles The Taverna workflow tool suite (http://www.taverna.org.uk) is designed to combine distributed Web Services and/or local tools into complex analysis pipelines. These pipelines can be executed on local desktop machines or through larger infrastructure (such as supercomputers, Grids or cloud environments), using the Taverna Server. In bioinformatics, Taverna workflows are typically used in the areas of high-throughput omics analyses (for example, proteomics or transcriptomics), or for evidence gathering methods involving text mining or data mining. Through Taverna, scientists have access to several thousand different tools and resources that are freely available from a large range of life science institutions. Once constructed, the workflows are reusable, executable bioinformatics protocols that can be shared, reused and repurposed. A repository of public workflows is available at http://www.myexperiment.org. This article provides an update to the Taverna tool suite, highlighting new features and developments in the workbench and the Taverna Server. Oxford University Press 2013-07 2013-05-02 /pmc/articles/PMC3692062/ /pubmed/23640334 http://dx.doi.org/10.1093/nar/gkt328 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Wolstencroft, Katherine Haines, Robert Fellows, Donal Williams, Alan Withers, David Owen, Stuart Soiland-Reyes, Stian Dunlop, Ian Nenadic, Aleksandra Fisher, Paul Bhagat, Jiten Belhajjame, Khalid Bacall, Finn Hardisty, Alex Nieva de la Hidalga, Abraham Balcazar Vargas, Maria P. Sufi, Shoaib Goble, Carole The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title | The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title_full | The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title_fullStr | The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title_full_unstemmed | The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title_short | The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud |
title_sort | taverna workflow suite: designing and executing workflows of web services on the desktop, web or in the cloud |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692062/ https://www.ncbi.nlm.nih.gov/pubmed/23640334 http://dx.doi.org/10.1093/nar/gkt328 |
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