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政大機構典藏 > 資訊學院 > 資訊科學系 > 專書/專書篇章 > Item 140.119/97016

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/97016

Title:	T-Coffee: tree-based consistency objective function for alignment evaluation
Authors:	張家銘 Magis, Cedrik;Taly, Jean-François;Bussotti, Giovanni;Chang, Jia-Ming;Tommaso, Paolo Di;Erb, Ionas
Contributors:	資科系
Keywords:	MSA;3D structure;Protein sequences;Transmembrane protein;Homolog sequences;DNA/RNA sequences;Promoter alignment;RNA secondary structure
Date:	2013-11
Issue Date:	2016-05-30 17:25:12 (UTC+8)
Abstract:	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.
Relation:	Multiple Sequence Alignment Methods, Humana Press, pp.117-129
Data Type:	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
Appears in Collections:	[資訊科學系] 專書/專書篇章

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