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Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud
Summary: We present the first parallel implementation of the T-Coffee consistency-based multiple aligner. We benchmark it on the Amazon Elastic Cloud (EC2) and show that the parallelization procedure is reasonably effective. We also conclude that for a web server with moderate usage (10K hits/month)...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905555/ https://www.ncbi.nlm.nih.gov/pubmed/20605929 http://dx.doi.org/10.1093/bioinformatics/btq304 |
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author | Di Tommaso, Paolo Orobitg, Miquel Guirado, Fernando Cores, Fernado Espinosa, Toni Notredame, Cedric |
author_facet | Di Tommaso, Paolo Orobitg, Miquel Guirado, Fernando Cores, Fernado Espinosa, Toni Notredame, Cedric |
author_sort | Di Tommaso, Paolo |
collection | PubMed |
description | Summary: We present the first parallel implementation of the T-Coffee consistency-based multiple aligner. We benchmark it on the Amazon Elastic Cloud (EC2) and show that the parallelization procedure is reasonably effective. We also conclude that for a web server with moderate usage (10K hits/month) the cloud provides a cost-effective alternative to in-house deployment. Availability: T-Coffee is a freeware open source package available from http://www.tcoffee.org/homepage.html Contact: cedric.notredame@crg.es |
format | Text |
id | pubmed-2905555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29055552010-07-19 Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud Di Tommaso, Paolo Orobitg, Miquel Guirado, Fernando Cores, Fernado Espinosa, Toni Notredame, Cedric Bioinformatics Applications Note Summary: We present the first parallel implementation of the T-Coffee consistency-based multiple aligner. We benchmark it on the Amazon Elastic Cloud (EC2) and show that the parallelization procedure is reasonably effective. We also conclude that for a web server with moderate usage (10K hits/month) the cloud provides a cost-effective alternative to in-house deployment. Availability: T-Coffee is a freeware open source package available from http://www.tcoffee.org/homepage.html Contact: cedric.notredame@crg.es Oxford University Press 2010-08-01 2010-07-06 /pmc/articles/PMC2905555/ /pubmed/20605929 http://dx.doi.org/10.1093/bioinformatics/btq304 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an 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 | Applications Note Di Tommaso, Paolo Orobitg, Miquel Guirado, Fernando Cores, Fernado Espinosa, Toni Notredame, Cedric Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title | Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title_full | Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title_fullStr | Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title_full_unstemmed | Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title_short | Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud |
title_sort | cloud-coffee: implementation of a parallel consistency-based multiple alignment algorithm in the t-coffee package and its benchmarking on the amazon elastic-cloud |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2905555/ https://www.ncbi.nlm.nih.gov/pubmed/20605929 http://dx.doi.org/10.1093/bioinformatics/btq304 |
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