Comparative analysis of seven multiple protein sequence alignment servers: clues to enhance reliability of predictions.
Author(s) -
Pascal Briffeuil,
G Baudoux,
Christophe Lambert,
Xavier De Bolle,
C. Vinals,
Ernest Feytmans,
Eric Depiereux
Publication year - 1998
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/14.4.357
Subject(s) - computer science , reliability (semiconductor) , confidence interval , multiple sequence alignment , server , sequence (biology) , the internet , data mining , sensitivity (control systems) , identification (biology) , identity (music) , power (physics) , sequence alignment , statistics , mathematics , biology , genetics , gene , computer network , peptide sequence , physics , botany , quantum mechanics , electronic engineering , world wide web , acoustics , engineering
The prediction reliability of seven multiple alignment servers currently available on the Internet (ClustalW, MAP, PIMA, Block Maker, MSA, MEME and Match-Box) has been evaluated in terms of power (sensitivity) and confidence (selectivity). Therefore, the alignments obtained have been respectively compared to refined structural alignments for 20 families of related proteins with low levels of identity.
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