SNP检测算法的分析与应用  

The Analysis and Application of SNP Detection Algorithm

作　　者：邓妍 王艺霏 李金山[1] 王君[2] Deng Yan;Wang Yifei;Li Jinshan;Wang Jun(School of Science, Beijing Forestry University, Beijing, 100083;College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083)

机构地区：[1]北京林业大学理学院,北京100083 [2]北京林业大学生物科学与技术学院,北京100083

出　　处：《分子植物育种》2018年第11期3698-3703,共6页Molecular Plant Breeding

基　　金：国家自然科学基金面上项目(19820802)资助

摘　　要：生物体基因组水平上的单核苷酸多态性(single nucleotide-polymorphism,SNP)包含着大量与生物体遗传进化有关的信息。近年来,SNP的检测分析被广泛应用于生物学及生物信息学与基因组学相关的研究领域中。在众多的SNP检测手段中,基于测序手段进行SNP检测的方法较为普遍,当下最为广泛应用的测序手段是高通量的第二代测序。利用不同的SNP检测算法,我们可以从生物体的测序数据发掘该生物体的SNP信息,进而对其进行一系列的遗传变异分析。本研究就基于测序手段的SNP检测流程做综述性的介绍,并且深入分析主流的SNP检测算法及其优缺点。Single nucleotide-polymorphism（SNP） on the genome level of organism contains massive information related to biological genetic evolution. In recent years, the detection and analysis of SNP has been widely used in the fields of biology, bioinformatics and genomics. Among various detection methods of SNP, the method of SNP detection based on sequencing is more common. Nowadays, the most widely applied sequencing method is the second generation of high-throughput sequencing. Using different SNP detection algorithms, we can excavate the SNP information of organism according to sequencing data of organism, so as to analyze its genetic features of genes. Our article made a summary introduction on SNP detection procedure based on sequencing method and deeply analyzed several mainstream SNP detecting algorithms.

关 键 词：单核苷酸多态性 第二代测序 序列比对 隐马氏模型 

分 类 号：Q811.4[生物学—生物工程]