Parallel implementation of biological software tools with NCBI’s blast as an example to achieve "load balancing"
Abstract
The successful mapping of the human genome has accelerated the study of proteins and protein-protein interactions by enabling rapid conversion of gene sequence data into protein structures. The challenge is to develop a flexible, fast and cost-effective way to accelerate biological (genomic and proteomic) data for processing, integration and analysis. Any viable solution must have the following parameters: Flexibility, scalability, cost effectiveness and speed
A parallel implementation of NCBI BLAST [the homology search application distributed by the National Center for Biotechnology Information (NCBI)] can be of great help with installation of corresponding nodes thus reducing BLAST time in a linear fashion. Accelerating BLAST in this fashion allows scientists to identify a broader array of novel genes and proteins faster.
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