GMStool: GWAS-based marker selection tool for genomic prediction from genomic data.

ABSTRACT: The increased accessibility to genomic data in recent years has laid the foundation for studies to predict various phenotypes of organisms based on the genome. Genomic prediction collectively refers to these studies, and it estimates an individual's phenotypes mainly using single nucleotide polymorphism markers. Typically, the accuracy of these genomic prediction studies is highly dependent on the markers used; however, in practice, choosing optimal markers with high accuracy for the phenotype to be used is a challenging task. Therefore, we present a new tool called GMStool for selecting optimal marker sets and predicting quantitative phenotypes. The GMStool is based on a genome-wide association study (GWAS) and heuristically searches for optimal markers using statistical and machine-learn

SUBMITTER: Jeong S 

PROVIDER: S-EPMC7665227 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature