Identifying multiple alignment regions satisfying simple formulas and patterns

Bioinformatics. 2004 Sep 1;20(13):2140-2. doi: 10.1093/bioinformatics/bth196. Epub 2004 Mar 25.

Abstract

Motivation: When studying multiple alignments of genomic sequences one frequently aims to locate and count regions which satisfy a set of constraints. These regions may be putatively functional, but researchers may also be interested in quantifying the frequency of occurrences of certain patterns.

Results: We have developed a program that applies simple formulas and pattern specifications to multiple alignments, reporting the positions and counts of conforming regions. As an example, we have navigated a 15-species alignment of the CAV2-CAV1 region and outlined some findings regarding PPARgamma binding sites.

Availability: Our software and the accompanying documentation can be obtained at no charge by contacting the authors. It can also be accessed at http://ranger.uta.edu/~nick/compgen

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Conserved Sequence
  • Gene Frequency
  • PPAR gamma / genetics*
  • Pattern Recognition, Automated / methods*
  • Sequence Alignment / methods*
  • Sequence Analysis, DNA / methods*
  • Sequence Homology, Nucleic Acid

Substances

  • PPAR gamma