Kim Kwangsoo, Ryoo Hong Seo
Division of Information Management Engineering, Graduate School of Information Management and Security, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul, 136-713 South Korea.
OR Spectr. 2008;30(2):249-268. doi: 10.1007/s00291-007-0089-0. Epub 2007 Jun 1.
Specializing a general framework of logical analysis of data for efficiently handling large-scale genomic data, we develop in this paper a probe design method for selecting short oligo probes for genotyping applications. When tested on genomic sequences obtained from the National Center of Biotechnology Information in various monospecific and polyspecific in silico experiments, the proposed probe design method was able to select a small number of oligo probes of length 7 or 8 nucleotides that perfectly classified all unseen testing sequences. These results demonstrate the efficacy of the proposed probe design method and illustrate the usefulness and potential a well-designed optimization-based probe selection method has in genotyping applications.
为了高效处理大规模基因组数据,我们专门设计了一个数据逻辑分析通用框架,并在此基础上开发了一种用于基因分型应用的短寡核苷酸探针选择的探针设计方法。在对从美国国家生物技术信息中心获取的基因组序列进行各种单特异性和多特异性的计算机模拟实验测试时,该探针设计方法能够选择少量长度为7或8个核苷酸的寡核苷酸探针,这些探针能够完美地对所有未见过的测试序列进行分类。这些结果证明了所提出的探针设计方法的有效性,并说明了基于优化的精心设计的探针选择方法在基因分型应用中的实用性和潜力。