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拟南芥突变基因位置的Linux大数据分析

Mapping of Arabidopsis Mutant Gene Based on Large Data Analysis of Linux
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摘要 以拟南芥为实例,通过野生型和突变型杂交,对二代群体DNA进行深度测序,获取海量DNA数据。以SNP为分子标记,利用生物信息学方法对测序数据进行单核苷酸多态性(SNP)检测。通过置换测验对基因组区段内的等位基因频率进行差异显著分析,并利用生物统计学方法对具有显著性差异的数据进行显著性检验,预估拟南芥的突变位点的位置在1号染色体的末端位置,范围为2853000~2898000。 In this paper, Arabidopsis thaliana is taken as an example to obtain massive DNA data by deep sequencing of DNA from the second generation population through wild-type and mutant hybridization. Single nucleotide polymorphism (SNP) detection of sequencing data was conducted by using bioinformatics methods and using SNP as a molecular marker. Significant differences in the frequency of alleles within the genome segment were analyzed by a displacement test. The data of significant differences were statistically tested by biostatistical methods to estimate the location of the mutation site of Arabidopsis thaliana.
作者 甘秋云 GAN Qiu-yun(School of Arts and Sciences, Fuzhou Institute of Technology, Fuzhou 350014, China)
出处 《唐山师范学院学报》 2019年第3期60-63,共4页 Journal of Tangshan Normal University
关键词 基因突变 基因定位 等位基因 高通量测序 gene mutation gene mapping allele high throughput sequencing
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