Cargando…
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: | Di Tommaso, Paolo, Orobitg, Miquel, Guirado, Fernando, Cores, Fernado, Espinosa, Toni, Notredame, Cedric |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
|
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 |
Ejemplares similares
-
Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce
por: Nellore, Abhinav, et al.
Publicado: (2016) -
A user-friendly web portal for T-Coffee on supercomputers
por: Rius, Josep, et al.
Publicado: (2011) -
T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension
por: Di Tommaso, Paolo, et al.
Publicado: (2011) -
M-Coffee: combining multiple sequence alignment methods with T-Coffee
por: Wallace, Iain M., et al.
Publicado: (2006) -
MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms
por: Yoshizoe, Kazuki, et al.
Publicado: (2018)