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    题名: T-Coffee: tree-based consistency objective function for alignment evaluation
    作者: 張家銘
    Magis, Cedrik;Taly, Jean-François;Bussotti, Giovanni;Chang, Jia-Ming;Tommaso, Paolo Di;Erb, Ionas
    贡献者: 資科系
    关键词: MSA;3D structure;Protein sequences;Transmembrane protein;Homolog sequences;DNA/RNA sequences;Promoter alignment;RNA secondary structure
    日期: 2013-11
    上传时间: 2016-05-30 17:25:12 (UTC+8)
    摘要: T-Coffee, for Tree-based consistency objective function for alignment evaluation, is a versatile multiple sequence alignment (MSA) method suitable for aligning virtually any type of biological sequences. T-Coffee provides more than a simple sequence aligner; rather it is a framework in which alternative alignment methods and/or extra information (i.e., structural, evolutionary, or experimental information) can be combined to reach more accurate and more meaningful MSAs. T-Coffee can be used either by running input data via the Web server (http://​tcoffee.​crg.​cat/​apps/​tcoffee/​index.​html) or by downloading the T-Coffee package. Here, we present how the package can be used in its command line mode to carry out the most common tasks and multiply align proteins, DNA, and RNA sequences. This chapter particularly emphasizes on the description of T-Coffee special flavors also called “modes,” designed to address particular biological problems.
    關聯: Multiple Sequence Alignment Methods, Humana Press, pp.117-129
    数据类型: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/978-1-62703-646-7_7
    DOI: 10.1007/978-1-62703-646-7_7
    显示于类别:[資訊科學系] 專書/專書篇章

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