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Databases, models, and algorithms for functional genomics: a bioinformatics perspective
Gautam B Singh1, Harkirat Singh
1Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA. singh@oakland.edu
Molecular Biotechnology
|February 9, 2005
Summary
This study reviews computational methods and databases for analyzing DNA and protein sequence patterns. It highlights their importance in gene expression, cellular functions, and understanding molecular coordination for protein synthesis.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- Biological sequences contain patterns crucial for gene expression and cellular functions.
- These patterns are cataloged in shared databases and modeled computationally for analysis.
- Understanding sequence motifs is key to deciphering macromolecular coordination in protein synthesis.
Purpose of the Study:
- To provide an overview of pattern representation methodologies and available databases for molecular biologists.
- To explain the principles of computational modeling and analysis techniques in bioinformatics.
- To review DNA sequence patterns involved in structural conformations within Scaffold or Matrix Attachment Regions (S/MARs).
Main Methods:
- Review of pattern representation methodologies.
- Survey of biological sequence pattern databases.
- Explanation of computational modeling and analysis techniques.
- Detailed review of DNA sequence patterns in S/MARs.
Main Results:
- Identified various pattern representation methodologies.
- Cataloged available pattern databases for molecular biologists.
- Described computational modeling and analysis principles.
- Reviewed DNA sequence patterns in S/MARs.
Conclusions:
- Effective utilization of bioinformatics tools and databases is essential for understanding biological sequence patterns.
- Computational approaches aid in deciphering complex patterns and their roles in gene regulation and protein synthesis.
- Further research into DNA patterns within S/MARs can elucidate structural conformations.