Prakapenka D - Search Results

1

GVCBLUP: a computer package for genomic prediction and variance component estimation of additive and dominance effects.

Wang C, Prakapenka D, Wang S, Pulugurta S, Runesha HB, Da Y. Wang C, et al. Among authors: prakapenka d. BMC Bioinformatics. 2014 Aug 9;15(1):270. doi: 10.1186/1471-2105-15-270. BMC Bioinformatics. 2014. PMID: 25107495 Free PMC article.

2

Genomic Inbreeding and Relatedness in Wild Panda Populations.

Garbe JR, Prakapenka D, Tan C, Da Y. Garbe JR, et al. Among authors: prakapenka d. PLoS One. 2016 Aug 5;11(8):e0160496. doi: 10.1371/journal.pone.0160496. eCollection 2016. PLoS One. 2016. PMID: 27494031 Free PMC article.

3

Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing.

Tan C, Wu Z, Ren J, Huang Z, Liu D, He X, Prakapenka D, Zhang R, Li N, Da Y, Hu X. Tan C, et al. Among authors: prakapenka d. Genet Sel Evol. 2017 Mar 29;49(1):35. doi: 10.1186/s12711-017-0311-8. Genet Sel Evol. 2017. PMID: 28356075 Free PMC article.

4

Genome changes due to artificial selection in U.S. Holstein cattle.

Ma L, Sonstegard TS, Cole JB, VanTassell CP, Wiggans GR, Crooker BA, Tan C, Prakapenka D, Liu GE, Da Y. Ma L, et al. Among authors: prakapenka d. BMC Genomics. 2019 Feb 11;20(1):128. doi: 10.1186/s12864-019-5459-x. BMC Genomics. 2019. PMID: 30744549 Free PMC article.

5

A Large-Scale Genome-Wide Association Study in U.S. Holstein Cattle.

Jiang J, Ma L, Prakapenka D, VanRaden PM, Cole JB, Da Y. Jiang J, et al. Among authors: prakapenka d. Front Genet. 2019 May 14;10:412. doi: 10.3389/fgene.2019.00412. eCollection 2019. Front Genet. 2019. PMID: 31139206 Free PMC article.

6

GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers.

Prakapenka D, Wang C, Liang Z, Bian C, Tan C, Da Y. Prakapenka D, et al. Front Genet. 2020 Apr 7;11:282. doi: 10.3389/fgene.2020.00282. eCollection 2020. Front Genet. 2020. PMID: 32318093 Free PMC article.

7

Improving Prediction Accuracy Using Multi-allelic Haplotype Prediction and Training Population Optimization in Wheat.

Sallam AH, Conley E, Prakapenka D, Da Y, Anderson JA. Sallam AH, et al. Among authors: prakapenka d. G3 (Bethesda). 2020 Jul 7;10(7):2265-2273. doi: 10.1534/g3.120.401165. G3 (Bethesda). 2020. PMID: 32371453 Free PMC article.

8

Haplotype Analysis of Genomic Prediction Using Structural and Functional Genomic Information for Seven Human Phenotypes.

Liang Z, Tan C, Prakapenka D, Ma L, Da Y. Liang Z, et al. Among authors: prakapenka d. Front Genet. 2020 Nov 26;11:588907. doi: 10.3389/fgene.2020.588907. eCollection 2020. Front Genet. 2020. PMID: 33324447 Free PMC article.

9

A Large-Scale Genome-Wide Association Study of Epistasis Effects of Production Traits and Daughter Pregnancy Rate in U.S. Holstein Cattle.

Prakapenka D, Liang Z, Jiang J, Ma L, Da Y. Prakapenka D, et al. Genes (Basel). 2021 Jul 18;12(7):1089. doi: 10.3390/genes12071089. Genes (Basel). 2021. PMID: 34356105 Free PMC article.

10

Haplotype genomic prediction of phenotypic values based on chromosome distance and gene boundaries using low-coverage sequencing in Duroc pigs.

Bian C, Prakapenka D, Tan C, Yang R, Zhu D, Guo X, Liu D, Cai G, Li Y, Liang Z, Wu Z, Da Y, Hu X. Bian C, et al. Among authors: prakapenka d. Genet Sel Evol. 2021 Oct 7;53(1):78. doi: 10.1186/s12711-021-00661-y. Genet Sel Evol. 2021. PMID: 34620094 Free PMC article.

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