Yang Mary Qu, Yang Jack Y
Department of Health and Human Services, Oak Ridge, DOE, United States National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20852, USA.
Int J Comput Biol Drug Des. 2009;2(2):204-6. doi: 10.1504/IJCBDD.2009.028824. Epub 2009 Oct 3.
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.
下一代测序的有效分析依赖于用于处理宏基因组、表观基因组和疾病基因组以及免疫基因组、病毒分析、转录组分析和从头基因组测序数据的智能算法，因此，由于存在极其大规模的“噪声”数据集，下一代测序分析在生物信息学中是一项非常重要但具有挑战性的任务。我们主要以基于多核技术的高性能遗传算法的开发为例，并向即将出现的快速发展的竞争平台开放。
