PCOAT：使用多种方法的位置相关性分析

PCOAT: positional correlation analysis using multiple methods.

作者信息

Qi Yuan, Grishin Nick V

机构信息

Department of Biochemistry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9050, USA.

出版信息

Bioinformatics. 2004 Dec 12;20(18):3697-9. doi: 10.1093/bioinformatics/bth431. Epub 2004 Jul 22.

DOI:10.1093/bioinformatics/bth431

PMID:15271785

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.

摘要

未标注

PCOAT（位置相关性分析工具）是一个用于对蛋白质多序列比对进行位置相关性分析的程序，目的是识别蛋白质家族中各位置之间结构或功能上重要的相互作用。我们采用不同的统计方法来检测高度相关的位置对、氨基酸对、单个位置以及相关位置网络，并利用多序列加权和抽样方法来消除由系统发育和随机事件引起的背景相关性。我们的程序运行速度相对较快，适用于分析包含大量序列的比对。