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Indexed/Abstracted in: EMBASE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,246
Online ISSN 1827-160X
Rossi I., Marchignoli D., Fariselli P., Beltrami R., Medini D., Casadio R.
CIRB Biocomputing Unit and Laboratory of Biophysics, Department of Biology, University of Bologna, Bologna, Italy
The BLAST suite is designed to efficiently performing sequence similarity searches in biological databases, and in this task it is considerably faster than other heuristic algorithms. However, especially for large genomes, BLAST performances can be optimised. We describe a simple and effective way to introduce parallelism in the BLAST code by applying a “divide and conquer” (DNC) approach based on splitting and distributing the original database. In this way DNCBLAST can efficiently run on computer clusters and overcomes the memory limitation of a single machine.