SeqVis: A tool for detecting compositional heterogeneity among aligned nucleotide sequences: A tool for detecting compositional heterogeneity among aligned nucleotide sequences

Research output: Chapter in Book or Conference Publication/ProceedingChapterpeer-review

12 Citations (Scopus)

Abstract

Compositional heterogeneity is a poorly appreciated attribute of aligned nucleotide and amino acid sequences. It is a common property of molecular phylogenetic data, and it has been found to occur across sequences and/or across sites. Most molecular phylogenetic methods assume that the sequences have evolved under globally stationary, reversible, and homogeneous conditions, implying that the sequences should be compositionally homogeneous. The presence of the above-mentioned compositional heterogeneity implies that the sequences must have evolved under more general conditions than is commonly assumed. Consequently, there is a need for reliable methods to detect under what conditions alignments of nucleotides or amino acids may have evolved. In this chapter, we describe one such program. SeqVis is designed to survey aligned nucleotide sequences. We discuss pros-et-cons of this program in the context of other methods to detect compositional heterogeneity and violated phylogenetic assumptions. The benefits provided by SeqVis are demonstrated in two studies of alignments of nucleotides, one of which contained 7542 nucleotides from 53 species.

Original languageEnglish (Ireland)
Title of host publicationBioinformatics for DNA Sequence Analysis
EditorsDavid Posada
PublisherHumana Press
Pages65-91
Number of pages27
ISBN (Print)9781588299109
Publication statusPublished - 1 Dec 2009

Publication series

Name1064-3745

Keywords

  • cluster analysis
  • Compositional heterogeneity
  • matched-pairs tests
  • nucleotide sequences
  • SeqVis
  • visualization

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Jermiin LS, Ho JWK, Lau KW, Jayaswal V

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