过去20多年复杂疾病易感基因鉴定的主要方法是连锁分析和关联研究。因为连锁分析确定的数量性状位点通常很宽,加之对区域内大部分基因的功能以及基因功能和疾病之间联系的认识十分有限,所以从数量性状位点到基因的识别是一个挑战。近年...过去20多年复杂疾病易感基因鉴定的主要方法是连锁分析和关联研究。因为连锁分析确定的数量性状位点通常很宽,加之对区域内大部分基因的功能以及基因功能和疾病之间联系的认识十分有限,所以从数量性状位点到基因的识别是一个挑战。近年来发展了一些利用公共数据库的信息预测疾病易感基因的计算生物学方法。文章简要介绍了DGP、GeneSeeker、Prioritizer、PROSPECTR and SUSPECTS及Endeavor5种计算生物学方法的基本原理,以2型糖尿病/肥胖和骨质疏松症易感基因的预测为例说明它们的应用方法,并讨论了这些方法的局限及应用前景。展开更多
Problems of computing the reversal distance between genomes are discussed. Problems of computing the reversal distance between genomes are fundamental problems of Computational Biology, these problems have important m...Problems of computing the reversal distance between genomes are discussed. Problems of computing the reversal distance between genomes are fundamental problems of Computational Biology, these problems have important meanings in studying the biological race evolution and the bio-pharmaceuticals etc. The problem of evolutionary trees based on reversal distance between genomes and it's NPC property are especially discussed.展开更多
文摘过去20多年复杂疾病易感基因鉴定的主要方法是连锁分析和关联研究。因为连锁分析确定的数量性状位点通常很宽,加之对区域内大部分基因的功能以及基因功能和疾病之间联系的认识十分有限,所以从数量性状位点到基因的识别是一个挑战。近年来发展了一些利用公共数据库的信息预测疾病易感基因的计算生物学方法。文章简要介绍了DGP、GeneSeeker、Prioritizer、PROSPECTR and SUSPECTS及Endeavor5种计算生物学方法的基本原理,以2型糖尿病/肥胖和骨质疏松症易感基因的预测为例说明它们的应用方法,并讨论了这些方法的局限及应用前景。
文摘Problems of computing the reversal distance between genomes are discussed. Problems of computing the reversal distance between genomes are fundamental problems of Computational Biology, these problems have important meanings in studying the biological race evolution and the bio-pharmaceuticals etc. The problem of evolutionary trees based on reversal distance between genomes and it's NPC property are especially discussed.
