Strategies for Multiple Sequence Alignment
Author(s) -
Hugh B. Nicholas,
Alexander J. Ropelewski,
David W. Deerfield
Publication year - 2002
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/02323rv01
Subject(s) - alignment free sequence analysis , multiple sequence alignment , variety (cybernetics) , sequence (biology) , sequence alignment , computer science , quality (philosophy) , structural alignment , data mining , computational biology , artificial intelligence , biology , peptide sequence , genetics , gene , philosophy , epistemology
We present an overview of multiple sequence alignments to outline the practical consequences for the choices among different techniques and parameters. We begin with a discussion of the scoring methods for quantifying the quality of a multiple sequence alignment, followed by a discussion of the algorithms implemented within a variety of multiple sequence alignment programs. We also discuss additional alignment details such as gap penalty and distance metrics. The paper concludes with a discussion on how to improve alignment quality and the limitations of the techniques described in this paper
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