Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
Abstract
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.
Subject
General Biochemistry, Genetics and Molecular Biology,Biotechnology
Cited by
27 articles.
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