DocumentCode :
3107777
Title :
VAMA: A Versatile Web-Based Tool for Variability Analysis in Multiply-Aligned Amino Acid Sequences: VAMA: Variability Analysis of Multiple Alignments
Author :
Gupta, Aditi ; Pandit, Aridaman ; Sinha, Somdatta
Author_Institution :
Math. Modeling & Comput. Biol. Group, Centre for Cellular & Mol. Biol. (CSIR), Hyderabad, India
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Quantifying residue variability at each column in a multiple sequence alignment of amino acids helps in indicating their similarities, and is useful to highlight information about the significances of each position from the perspective of their structure, function, and evolution. It is becoming increasingly clear that the groups of amino acids that allow conserved replacement vary with the position of the residue in the protein. Most multiple alignment algorithms cater to general users and hence do not address this specific feature. A tool for scoring variability in multiply-aligned amino acid sequences, that allows different conservation groups, is highly desirable. VAMA (Variability Analysis of Multiple Alignments) is a simple yet versatile program that calculates and plots residue variability in a given set of aligned sequences based on known conservation groups specific for different functionally important regions of a protein, and also allows user-defined groups for new discoveries. VAMA is available at http://203.200.217.184/VAMA/Overview.html.
Keywords :
biological techniques; biology computing; molecular biophysics; proteins; multiple alignment variability analysis; multiply-aligned amino acid sequences; protein; user-defined groups; versatile web-based tool; Amino acids; Cells (biology); Computational biology; Evolution (biology); Frequency; Information analysis; Mathematical model; Position measurement; Proteins; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5515824
Filename :
5515824
Link To Document :
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