索引
外显子组测序
工作流程
外显子组
计算生物学
人口
基因组
等位基因频率
DNA测序
1000基因组计划
单核苷酸多态性
计算机科学
生物信息学
生物
基因
遗传学
等位基因
突变
数据库
医学
基因型
环境卫生
作者
Peter Ulintz,Weisheng Wu,Chris Gates
出处
期刊:Methods in molecular biology
日期:2018-10-23
卷期号:: 277-318
被引量:29
标识
DOI:10.1007/978-1-4939-8876-1_21
摘要
This chapter contains a step-by-step protocol for identifying somatic SNPs and small Indels from next-generation sequencing data of tumor samples and matching normal samples. The workflow presented here is largely based on the Broad Institute’s “Best Practices” guidelines and makes use of their Genome Analysis Toolkit (GATK) platform. Variants are annotated with population allele frequencies and curated resources such as GnomAD and ClinVar and curated effect predictions from dbNSFP using VCFtools, SnpEff, and SnpSift.
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