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The advancement of laboratory processes has resulted in a dramatic growth of genomics data in recent years. To accelerate the process of drug discovery, pharmaceutical and biotechnology institutes are facing the challenge of effectively applying bioinformatics, computing and mathematical sciences to the analysis of biological data, which involves huge data volume and consequently complex in silicon simulations and testing.
To yield accurate results for time-critical operations, parallel and distributed computing have been used in a wide range of bioinformatics techniques, including biological sequence alignment, gene finding and prediction, phylogenetic analysis, protein folding, genetic networks, gene linkage analysis and DNA microarray design.
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