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.
International Journal of Computational Biology and Drug Design, 2009 Vol.2 No.2, pp.204 - 206
Available online: 03 Oct 2009Full-text access for editors Access for subscribers Purchase this article Comment on this article