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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/86639
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/86639


    Title: Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures
    Authors: Chang, Jia-Ming
    張家銘
    Notredame, Cedric
    Kemena, Carsten
    Jose, Espinosa-Carrasco
    Erb, Ionas
    Tommaso, Paolo Di
    Bussotti, Giovanni
    Magis, Cedrik
    Jean-Francois
    Taly
    Contributors: 資科系
    Date: 2011-11
    Issue Date: 2016-04-27 15:30:09 (UTC+8)
    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/.
    Relation: Nature Protocols, 6, 1669-1682
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1038/nprot.2011.393
    DOI: 10.1038/nprot.2011.393
    Appears in Collections:[資訊科學系] 期刊論文

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