The M-Coffee web server: a meta-method for computing multiple sequence alignments by combining alternative alignment methods.

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Serval ID
serval:BIB_E1EA981E1A22
Type
Article: article from journal or magazin.
Collection
Publications
Title
The M-Coffee web server: a meta-method for computing multiple sequence alignments by combining alternative alignment methods.
Journal
Nucleic Acids Research
Author(s)
Moretti S., Armougom F., Wallace I.M., Higgins D.G., Jongeneel C.V., Notredame C.
ISSN
1362-4962[electronic]
Publication state
Published
Issued date
2007
Peer-reviewed
Oui
Volume
35
Number
Web Server issue
Pages
W645-8
Language
english
Abstract
The M-Coffee server is a web server that makes it possible to compute multiple sequence alignments (MSAs) by running several MSA methods and combining their output into one single model. This allows the user to simultaneously run all his methods of choice without having to arbitrarily choose one of them. The MSA is delivered along with a local estimation of its consistency with the individual MSAs it was derived from. The computation of the consensus multiple alignment is carried out using a special mode of the T-Coffee package [Notredame, Higgins and Heringa (T-Coffee: a novel method for fast and accurate multiple sequence alignment. J. Mol. Biol. 2000; 302: 205-217); Wallace, O'Sullivan, Higgins and Notredame (M-Coffee: combining multiple sequence alignment methods with T-Coffee. Nucleic Acids Res. 2006; 34: 1692-1699)] Given a set of sequences (DNA or proteins) in FASTA format, M-Coffee delivers a multiple alignment in the most common formats. M-Coffee is a freeware open source package distributed under a GPL license and it is available either as a standalone package or as a web service from www.tcoffee.org.
Keywords
Algorithms, Amino Acid Sequence, Computational Biology, Computer Simulation, Information Storage and Retrieval, Internet, Molecular Sequence Data, Reproducibility of Results, Sequence Alignment, Sequence Homology, Amino Acid, Software, User-Computer Interface
Pubmed
Web of science
Open Access
Yes
Create date
19/11/2007 10:51
Last modification date
20/08/2019 16:05
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