Title: Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis

Authors: Mary Qu Yang, Jack Y. Yang

Addresses: Department of Health and Human Services, Oak Ridge, DOE, United States National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20852, USA. ' Harvard, P.O. Box 400888, Cambridge, Massachusetts 02140-0888, USA

Abstract: Effective analysis of the next-generation sequence relies on the intelligent algorithms for handling the meta-genome, epigenetic and disease genome, as well as immune-genome, viral profiling, transcriptome profiling, and de novo genome sequencing data, therefore, next-generation sequence analysis is a very important but challenging task in bioinformatics due to extremely large-scale |noisy| datasets. We focus mainly on the development of high-performance genetic algorithms based on multi-core technology as an example and open to fast-moving competing platforms to be emerged.

Keywords: next generation sequence analysis; high performance computing; bioinformatics; genetic algorithms; GAs.

DOI: 10.1504/IJCBDD.2009.028824

International Journal of Computational Biology and Drug Design, 2009 Vol.2 No.2, pp.204 - 206

Available online: 03 Oct 2009

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