Strategies for Multiple Sequence Alignment

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 algo...

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Main Authors: Hugh B. Nicholas, Alexander J. Ropelewski, David W. Deerfield
Format: Article
Language:English
Published: Taylor & Francis Group 2002-03-01
Series:BioTechniques
Online Access:https://www.future-science.com/doi/10.2144/02323rv01
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author Hugh B. Nicholas
Alexander J. Ropelewski
David W. Deerfield
author_facet Hugh B. Nicholas
Alexander J. Ropelewski
David W. Deerfield
author_sort Hugh B. Nicholas
collection DOAJ
description 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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1940-9818
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publishDate 2002-03-01
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spelling doaj-art-c52d9258078648d7bdbd321b673f65f52025-08-20T02:25:54ZengTaylor & Francis GroupBioTechniques0736-62051940-98182002-03-0132357259110.2144/02323rv01Strategies for Multiple Sequence AlignmentHugh B. Nicholas0Alexander J. Ropelewski1David W. Deerfield21Carnegie Mellon University, Pittsburgh, PA, USA1Carnegie Mellon University, Pittsburgh, PA, USA1Carnegie Mellon University, Pittsburgh, PA, USAWe 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.https://www.future-science.com/doi/10.2144/02323rv01
spellingShingle Hugh B. Nicholas
Alexander J. Ropelewski
David W. Deerfield
Strategies for Multiple Sequence Alignment
BioTechniques
title Strategies for Multiple Sequence Alignment
title_full Strategies for Multiple Sequence Alignment
title_fullStr Strategies for Multiple Sequence Alignment
title_full_unstemmed Strategies for Multiple Sequence Alignment
title_short Strategies for Multiple Sequence Alignment
title_sort strategies for multiple sequence alignment
url https://www.future-science.com/doi/10.2144/02323rv01
work_keys_str_mv AT hughbnicholas strategiesformultiplesequencealignment
AT alexanderjropelewski strategiesformultiplesequencealignment
AT davidwdeerfield strategiesformultiplesequencealignment