演绎 发表于 2025-3-30 08:44:59
https://doi.org/10.1007/978-1-4842-2208-9ulation structure and relatedness in a step-by-step fashion. To exemplify the process, two pruned datasets (14K and 243K SNP markers) were used to investigate population structure and relatedness among a soybean GWAS panel using different approaches and methods.irradicable 发表于 2025-3-30 16:00:19
Finding Answers in a Text Document, and false negative rates have always been hot topics in the domain of GWAS. In this chapter, we describe how to perform GWAS using an R package, rMVP, which includes data preparation, evaluation of population structure, association tests by different models, and high-quality visualization of GWAS results.CHIDE 发表于 2025-3-30 17:30:18
http://reply.papertrans.cn/39/3829/382859/382859_53.png轻信 发表于 2025-3-31 00:10:01
http://reply.papertrans.cn/39/3829/382859/382859_54.png多产子 发表于 2025-3-31 02:01:14
Population Structure and Relatedness for Genome-Wide Association Studiesulation structure and relatedness in a step-by-step fashion. To exemplify the process, two pruned datasets (14K and 243K SNP markers) were used to investigate population structure and relatedness among a soybean GWAS panel using different approaches and methods.mediocrity 发表于 2025-3-31 06:06:02
Performing Genome-Wide Association Studies Using rMVP and false negative rates have always been hot topics in the domain of GWAS. In this chapter, we describe how to perform GWAS using an R package, rMVP, which includes data preparation, evaluation of population structure, association tests by different models, and high-quality visualization of GWAS results.