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Braz. j. med. biol. res ; 36(4): 463-464, Apr. 2003. ilus, tab
Article in English | LILACS | ID: lil-331236

ABSTRACT

We have developed a software called pp-Blast that uses the publicly available Blast package and PVM (parallel virtual machine) to partition a multi-sequence query across a set of nodes with replicated or shared databases. Benchmark tests show that pp-Blast running in a cluster of 14 PCs outperformed conventional Blast running in large servers. In addition, using pp-Blast and the cluster we were able to map all human cDNAs onto the draft of the human genome in less than 6 days. We propose here that the cost/benefit ratio of pp-Blast makes it appropriate for large-scale sequence analysis. The source code and configuration files for pp-Blast are available at http://www.ludwig.org.br/biocomp/tools/pp-blast


Subject(s)
Humans , Database Management Systems , Genome, Human , Internet , User-Computer Interface , Computing Methodologies , Cost-Benefit Analysis , Database Management Systems , Time Factors
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