Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis.
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.
Yang
Mary Qu
MQ
Department of Health and Human Services, Oak Ridge, DOE, United States National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20852, USA. yangma@mail.NIH.gov
Yang
Jack Y
JY
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D017421:Sequence Analysis / Q000379:methods*