Literature DB >> 10991785

Multiple sequence alignment in phylogenetic analysis.

A Phillips1, D Janies, W Wheeler.   

Abstract

Multiple sequence alignment is discussed in light of homology assessments in phylogenetic research. Pairwise and multiple alignment methods are reviewed as exact and heuristic procedures. Since the object of alignment is to create the most efficient statement of initial homology, methods that minimize nonhomology are to be favored. Therefore, among all possible alignments, the one that satisfies the phylogenetic optimality criterion the best should be considered the best alignment. Since all homology statements are subject to testing and explanation this way, consistency of optimality criteria is desirable. This consistency is based on the treatment of alignment gaps as character information and the consistent use of a cost function (e.g., insertion-deletion, transversion, and transition) through analysis from alignment to phylogeny reconstruction. Cost functions are not subject to testing via inspection; hence the assumptions they make should be examined by varying the assumed values in a sensitivity analysis context to test for the robustness of results. Agreement among data may be used to choose an optimal solution set from all of those examined through parameter variation. This idea of consistency between assumption and analysis through alignment and cladogram reconstruction is not limited to parsimony analysis and could and should be applied to other forms of analysis such as maximum likelihood. Copyright 2000 Academic Press.

Keywords:  Non-programmatic

Mesh:

Year:  2000        PMID: 10991785     DOI: 10.1006/mpev.2000.0785

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  33 in total

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4.  3DCoffee@igs: a web server for combining sequences and structures into a multiple sequence alignment.

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Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

5.  BLAST Filter and GraphAlign: rule-based formation and analysis of sets of related DNA and protein sequences.

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Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

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7.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

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Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

8.  BCL::Align-sequence alignment and fold recognition with a custom scoring function online.

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9.  The NanA neuraminidase of Streptococcus pneumoniae is involved in biofilm formation.

Authors:  Dane Parker; Grace Soong; Paul Planet; Jonathan Brower; Adam J Ratner; Alice Prince
Journal:  Infect Immun       Date:  2009-06-29       Impact factor: 3.441

10.  R-PASS: A Fast Structure-based RNA Sequence Alignment Algorithm.

Authors:  Yanan Jiang; Weijia Xu; Lee Parnell Thompson; Robin R Gutell; Daniel P Miranker
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2011-12-31
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