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BeoBLAST: distributed BLAST and PSI-BLAST on a Beowulf cluster
J D Grant1, R L Dunbrack, F J Manion
1Bioinformatics Facility, Fox Chase Cancer Center, Philadelphia, PA 19111, USA. jd_grant@fccc.edu
Bioinformatics (Oxford, England)
|June 7, 2002
Summary
BeoBLAST offers a scalable BLAST system using Beowulf clusters for efficient biological sequence analysis. This software enables high-throughput, multi-database searches with novel features for advanced bioinformatics research.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- High-throughput biological sequence analysis is computationally intensive.
- Existing BLAST systems may lack scalability and advanced features for complex research needs.
Purpose of the Study:
- To develop an integrated software package, BeoBLAST, for scalable and efficient execution of BLAST and PSI-BLAST searches.
- To introduce novel web interface features for enhanced search capabilities and high-throughput automated querying.
Main Methods:
- Implementation of BeoBLAST as an integrated software package for distributing searches across Beowulf clusters.
- Development of a web interface supporting simultaneous multi-database and multi-query searches.
- Integration of PSSM (Position-Specific Scoring Matrix) from previous PSI-BLAST searches for novel search initiation.
Main Results:
- BeoBLAST provides a simple, scalable BLAST system on inexpensive computer clusters.
- The system supports simultaneous searches of multiple databases with multiple queries.
- Automated querying is supported for high-throughput bioinformatics workflows.
Conclusions:
- BeoBLAST offers a cost-effective and scalable solution for accelerating BLAST and PSI-BLAST searches.
- The novel features enhance the utility of BLAST for complex and high-throughput biological data analysis.
- The software facilitates efficient implementation of large-scale sequence similarity searches.