Abstract
Exhaustively searching and analyzing bio-data are indispensable in researches on genome. In this paper we adopt grid technology for processing the large-scale and diversified bio-data, and construct problem solving environment (PSE) based on the grid for genome analysis system, which enables acquiring new results and comprehensive knowledge by linking bio-data based on workflow and web technology. Basic local alignment search tool (BLAST), which consumes a lot of computational time in genome analysis, is executed using distributed and parallel processing under the grid environment in this system. As a result, BLAST throughput time is improved significantly. Workflow system in this system is applied to designing a polymerase chain reaction (PCR) primer for single nucleotide polymorphism (SNP) typing. By applying this problem solving environment, productivity of the PCR primer design is improved remarkably.
