1. Data from: Assessment of imputation from low-pass sequencing to predict merit of beef steers
- Author
-
Snelling, Warren M, Hoff, Jesse L, Li, Jeremiah H, Kuehn, Larry A, Keel, Brittney N, Lindholm-Perry, Amanda K, and Pickrell, Joseph K
- Subjects
beef cattle ,imputation ,sequence ,genomic prediction - Abstract
Sup1.tsv:Tab separated text list of animals in imputation reference, containing ID, SRR Accessions, Source, Breed and number of downsampled progeny examined in this study. Sup2.vcf.gz:VCF-formatted text containing snpEff annotation of variants imputed from low-pass sequence. Sup3.tsv:Tab separated text summarizing number of variants, low-confidence variants and variant spacing in 1 Mb intervals. Sup4.tsv: Tab separated text with correlations between molecular breeding values with SNP effects applied to genotypes imputed from low-pass sequence or SNP arrays. steerworkflow.pdf: Diagram depicting processes to obtain imputedgenotypes, (G)EBV and MBV of the study steers
- Published
- 2020
- Full Text
- View/download PDF