Literature DB >> 21979275

Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures.

Jean-Francois Taly1, Cedrik Magis, Giovanni Bussotti, Jia-Ming Chang, Paolo Di Tommaso, Ionas Erb, Jose Espinosa-Carrasco, Carsten Kemena, Cedric Notredame.   

Abstract

T-Coffee (Tree-based consistency objective function for alignment evaluation) is a versatile multiple sequence alignment (MSA) method suitable for aligning most types of biological sequences. The main strength of T-Coffee is its ability to combine third party aligners and to integrate structural (or homology) information when building MSAs. The series of protocols presented here show how the package can be used to multiply align proteins, RNA and DNA sequences. The protein section shows how users can select the most suitable T-Coffee mode for their data set. Detailed protocols include T-Coffee, the default mode, M-Coffee, a meta version able to combine several third party aligners into one, PSI (position-specific iterated)-Coffee, the homology extended mode suitable for remote homologs and Expresso, the structure-based multiple aligner. We then also show how the T-RMSD (tree based on root mean square deviation) option can be used to produce a functionally informative structure-based clustering. RNA alignment procedures are described for using R-Coffee, a mode able to use predicted RNA secondary structures when aligning RNA sequences. DNA alignments are illustrated with Pro-Coffee, a multiple aligner specific of promoter regions. We also present some of the many reformatting utilities bundled with T-Coffee. The package is an open-source freeware available from http://www.tcoffee.org/.

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Year:  2011        PMID: 21979275     DOI: 10.1038/nprot.2011.393

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  38 in total

1.  Computational complexity of multiple sequence alignment with SP-score.

Authors:  W Just
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

2.  T-Coffee: A novel method for fast and accurate multiple sequence alignment.

Authors:  C Notredame; D G Higgins; J Heringa
Journal:  J Mol Biol       Date:  2000-09-08       Impact factor: 5.469

3.  T-RMSD: a fine-grained, structure-based classification method and its application to the functional characterization of TNF receptors.

Authors:  Cedrik Magis; François Stricher; Almer M van der Sloot; Luis Serrano; Cedric Notredame
Journal:  J Mol Biol       Date:  2010-05-13       Impact factor: 5.469

4.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

Authors:  Chuong B Do; Mahathi S P Mahabhashyam; Michael Brudno; Serafim Batzoglou
Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

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Authors:  Gregory E Jordan; William H Piel
Journal:  Bioinformatics       Date:  2008-05-16       Impact factor: 6.937

6.  COFFEE: an objective function for multiple sequence alignments.

Authors:  C Notredame; L Holm; D G Higgins
Journal:  Bioinformatics       Date:  1998-06       Impact factor: 6.937

7.  Profile analysis.

Authors:  M Gribskov; R Lüthy; D Eisenberg
Journal:  Methods Enzymol       Date:  1990       Impact factor: 1.600

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

Authors:  Paolo Di Tommaso; Miquel Orobitg; Fernando Guirado; Fernado Cores; Toni Espinosa; Cedric Notredame
Journal:  Bioinformatics       Date:  2010-07-06       Impact factor: 6.937

9.  Transcription factor map alignment of promoter regions.

Authors:  Enrique Blanco; Xavier Messeguer; Temple F Smith; Roderic Guigó
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

10.  M-Coffee: combining multiple sequence alignment methods with T-Coffee.

Authors:  Iain M Wallace; Orla O'Sullivan; Desmond G Higgins; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2006-03-23       Impact factor: 16.971

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