Cloud-Coffee: Implementation of a parallel consistency-based multiple alignment algorithm in the T-coffee package and its benchmarking on the Amazon Elastic-Cloud

Paolo di Tommaso; Miquel Orobitg; Fernando Guirado; Fernado Cores; Toni Espinosa; Cedric Notredame

doi:https://doi.org/10.1093/bioinformatics/btq304

Cloud-Coffee: Implementation of a parallel consistency-based multiple alignment algorithm in the T-coffee package and its benchmarking on the Amazon Elastic-Cloud

Paolo di Tommaso, Miquel Orobitg, Fernando Guirado, Fernado Cores, Toni Espinosa, Cedric Notredame

Research output: Contribution to journal › Article › Research › peer-review

23 Citations (Scopus)

Abstract

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. © The Author(s) 2010. Published by Oxford University Press. All rights reserved.

Original language	English
Article number	btq304
Pages (from-to)	1903-1904
Journal	Bioinformatics
Volume	26
DOIs	https://doi.org/10.1093/bioinformatics/btq304
Publication status	Published - 6 Jul 2010

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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",

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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. / di Tommaso, Paolo; Orobitg, Miquel; Guirado, Fernando et al.

In: Bioinformatics, Vol. 26, btq304, 06.07.2010, p. 1903-1904.

Research output: Contribution to journal › Article › Research › peer-review

TY - JOUR

T1 - Cloud-Coffee: Implementation of a parallel consistency-based multiple alignment algorithm in the T-coffee package and its benchmarking on the Amazon Elastic-Cloud

AU - di Tommaso, Paolo

AU - Orobitg, Miquel

AU - Guirado, Fernando

AU - Cores, Fernado

AU - Espinosa, Toni

AU - Notredame, Cedric

PY - 2010/7/6

Y1 - 2010/7/6

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AB - 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. © The Author(s) 2010. Published by Oxford University Press. All rights reserved.

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M1 - btq304

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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

Abstract

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