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M-Coffee网络服务器:一种通过组合多种比对方法来计算多序列比对的元方法。

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

作者信息

Moretti Sebastien, Armougom Fabrice, Wallace Iain M, Higgins Desmond G, Jongeneel Cornelius V, Notredame Cedric

机构信息

Swiss Institute of Bioinformatics, Bâtiment Génopode, UNIL, CH-101 Lausanne.

出版信息

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W645-8. doi: 10.1093/nar/gkm333. Epub 2007 May 25.

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.

摘要

M-Coffee服务器是一个网络服务器,它能够通过运行多种多序列比对(MSA)方法并将它们的输出结果合并为一个单一模型来计算多序列比对。这使得用户能够同时运行其选择的所有方法,而无需随意选择其中之一。多序列比对会附带对其与所源自的各个多序列比对的一致性的局部估计。一致多序列比对的计算是使用T-Coffee软件包的一种特殊模式进行的[诺特丹、希金斯和赫林加(T-Coffee:一种快速准确的多序列比对新方法。《分子生物学杂志》2000年;302:205 - 217);华莱士、奥沙利文、希金斯和诺特丹(M-Coffee:将多序列比对方法与T-Coffee相结合。《核酸研究》2006年;34:1692 - 1699)]。给定一组FASTA格式的序列(DNA或蛋白质),M-Coffee会以最常见的格式提供多序列比对。M-Coffee是一个根据GPL许可分发的免费开源软件包,它既可以作为独立软件包使用,也可以从www.tcoffee.org作为网络服务获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b01/1933118/0c47b0ea3602/gkm333f1.jpg

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