Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers
-
Externally hosted supplementary file 1
Doi: 10.5281/zenodo.4147100
Link: https://zenodo.org/record/4147100
Description: Table S1: 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; Table S2: Sup2.vcf, VCF-formatted text containing snpEff annotation of variants imputed from low-pass sequence; Table S3: Sup3.tsv, tab separated text summarizing number of variants, low-confidence variants and variant spacing in 1 Mb intervals. Figure S1: steerworkflow.pdf, diagram depicting processes to obtain imputed genotypes, (G)EBV and MBV of the study steers; Table S4; Sup4.tsv, tab separated text containing correlations between array- and sequence-based MBV.
Snelling, W.M.; Hoff, J.L.; Li, J.H.; Kuehn, L.A.; Keel, B.N.; Lindholm-Perry, A.K.; Pickrell, J.K. Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers. Genes 2020, 11, 1312. https://doi.org/10.3390/genes11111312
Snelling WM, Hoff JL, Li JH, Kuehn LA, Keel BN, Lindholm-Perry AK, Pickrell JK. Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers. Genes. 2020; 11(11):1312. https://doi.org/10.3390/genes11111312
Chicago/Turabian StyleSnelling, Warren M., Jesse L. Hoff, Jeremiah H. Li, Larry A. Kuehn, Brittney N. Keel, Amanda K. Lindholm-Perry, and Joseph K. Pickrell. 2020. "Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers" Genes 11, no. 11: 1312. https://doi.org/10.3390/genes11111312