DIVAA: analysis of amino acid diversity in multiple aligned protein sequences
Author(s) -
Diane J. Rodi,
Suneeta Mandava,
Lee Makowski
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth432
Subject(s) - hypervariable region , computational biology , functional diversity , biology , conserved sequence , amino acid , sequence (biology) , multiple sequence alignment , sequence analysis , homogeneous , peptide sequence , sequence motif , sequence alignment , sequence logo , consensus sequence , evolutionary biology , genetics , ecology , mathematics , combinatorics , gene
Multiple alignments of proteins are an effective way of identifying conserved amino acids that provide clues to functional relationships among proteins. Quantitation of the abundances of amino acids found at each position in a sequence motif can provide a basis for understanding the structural and functional constraints at each point. Distribution of information across a motif has been used previously, but the non-intuitive nature of the analysis has limited its impact.
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