基因分型
SNP基因分型
单核苷酸多态性
生物
遗传多样性
鉴定(生物学)
计算生物学
SNP公司
分子反转探针
基因型
遗传学
基因
人口
医学
生态学
环境卫生
作者
William J. W. Thomas,Yueqi Zhang,Junrey C. Amas,Aldrin Y. Cantila,Jaco Zandberg,Samantha L. Harvie,Jacqueline Batley
标识
DOI:10.1007/978-1-0716-3024-2_32
摘要
Over the past decade, advances in plant genotyping have been critical in enabling the identification of genetic diversity, in understanding evolution, and in dissecting important traits in both crops and native plants. The widespread popularity of single-nucleotide polymorphisms (SNPs) has prompted significant improvements to SNP-based genotyping, including SNP arrays, genotyping by sequencing, and whole-genome resequencing. More recent approaches, including genotyping structural variants, utilizing pangenomes to capture species-wide genetic diversity and exploiting machine learning to analyze genotypic data sets, are pushing the boundaries of what plant genotyping can offer. In this chapter, we highlight these innovations and discuss how they will accelerate and advance future genotyping efforts.
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