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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Updated: Jun 11, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
Published on: June 9, 2023
Paolo Di Tommaso1, Miquel Orobitg, Fernando Guirado
1Centre For Genomic Regulation (Pompeu Fabra University), Carrer del Doctor Aiguader 88, Barcelona, Spain.
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
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