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Identifying multiple alignment regions satisfying simple formulas and patterns
1Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA. nick@cse.uta.edu
Bioinformatics (Oxford, England)
|March 27, 2004
Summary
This study introduces a new software tool for analyzing genomic sequence alignments. The program efficiently locates and counts specific patterns within alignments, aiding in the identification of functional regions and their frequencies.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Identifying and quantifying specific patterns in multiple genomic sequence alignments is crucial for biological research.
- Researchers often seek to locate putatively functional regions or assess pattern occurrence frequencies.
Purpose of the Study:
- To develop and present a software tool for analyzing multiple genomic sequence alignments.
- To enable researchers to locate and count regions conforming to specified constraints and patterns.
Main Methods:
- The developed program utilizes simple formulas and pattern specifications.
- It processes multiple sequence alignments to identify and count matching regions.
Main Results:
- The software successfully reports the positions and counts of conforming regions in genomic alignments.
- An analysis of a 15-species alignment of the CAV2-CAV1 region identified potential PPARgamma binding sites.
Conclusions:
- The developed software provides an efficient method for pattern discovery in genomic alignments.
- This tool aids in the quantitative analysis of sequence patterns, facilitating biological insights.