PCOAT: positional correlation analysis using multiple methods.

Yuan Qi; Nick V Grishin

doi:10.1093/bioinformatics/bth431

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PCOAT: positional correlation analysis using multiple methods.

Yuan Qi·Nick V Grishin

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Abstract

UNLABELLED: PCOAT (Positional COrrelation Analysis Tool) is a program to perform positional correlation analysis for protein multiple sequence alignment in order to identify structurally or functionally important interactions between positions in a protein family. We implement different statistical methods to detect highly correlated position pairs, amino acid pairs, individual positions and networks of correlated positions, and utilize multiple sequence weighting and sampling methods to eliminate background correlations caused by phylogeny and stochastic events. Our program runs relatively fast and is suitable for analyzing alignments containing large number of sequences. AVAILABILITY: ftp://iole.swmed.edu/pub/PCOAT/. SUPPLEMENTARY INFORMATION: The PCOAT ftp site contains a detailed description of the program, and the results of PCOAT analysis on C2H2 alignment and ACT domain alignment.

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Algorithms Evolution, Molecular Models, Molecular Models, Statistical Proteins Sequence Alignment Sequence Analysis, Protein Sequence Homology, Amino Acid Software Statistics as Topic Structure-Activity Relationship Journal Article Research Support, U.S. Gov't, P.H.S.

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Yuan Qi, Nick V Grishin. 2004-07-22. PCOAT: positional correlation analysis using multiple methods.. https://doi.org/10.1093/bioinformatics%2Fbth431

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