PCOAT: Positional correlation analysis using multiple methods

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Summary: 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.

Original languageEnglish (US)
Pages (from-to)3697-3699
Number of pages3
JournalBioinformatics
Volume20
Issue number18
DOIs
StatePublished - Dec 12 2004

Fingerprint

Correlation Analysis
Proteins
Sequence Alignment
Phylogeny
Amino acids
Statistical methods
Sampling
Protein
Amino Acids
Multiple Sequence Alignment
Sampling Methods
Statistical method
Weighting
Alignment
Eliminate
Interaction

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

PCOAT : Positional correlation analysis using multiple methods. / Qi, Yuan; Grishin, Nick V.

In: Bioinformatics, Vol. 20, No. 18, 12.12.2004, p. 3697-3699.

Research output: Contribution to journalArticle

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