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PMID: 17921493 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

BiasViz: visualization of amino acid biased regions in protein alignments.

Bioinformatics (Oxford, England) ·Vol. 23 ·No. 22 ·2007-11-15 ·Pages 3093-4

Huska MR, Buschmann H, Andrade-Navarro MA

Abstract

About a third of all protein sequences have at least one composition biased region (CBR). Such regions might act as linkers between protein domains but often confer specific binding to various molecules; therefore, their characterization in terms of their boundaries and over-represented residues is important. Analysis of CBRs in a particular sequence can be time consuming if several types of biases have to be explored and their position visualized. Assessment of the significance of the detected CBRs can be approached by comparison to homologous protein sequences. To assist this procedure, we have developed BiasViz, a tool that allows to graphically studying local amino acid composition in protein sequences of a multiple sequence alignment.

MeSH Terms
Algorithms Amino Acid Sequence Amino Acids/chemistry Computer Graphics Molecular Sequence Data Protein Structure, Tertiary Proteins/chemistry Sequence Alignment/methods Sequence Analysis, Protein/methods Software User-Computer Interface
Chemicals
Amino Acids Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Huska Matthew R
Molecular Medicine, Ottawa Health Research Institute, 501 Smyth Road, Ottawa, ON, Canada. matthuska@alumni.uwaterloo.ca
Buschmann Henrik
Andrade-Navarro Miguel A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2007-11-15
Epub
2007-00-06
Pages
3093-4
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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