Imputation of missing genotypes from low- to high-density SNP panel in different population designs.
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Imputation Accuracy from Low to Moderate Density Single Nucleotide Polymorphism Chips in a Thai Multibreed Dairy Cattle PopulationGenomic prediction with parallel computing for slaughter traits in Chinese Simmental beef cattle using high-density genotypes.Using a very low-density SNP panel for genomic selection in a breeding program for sheep.Imputation from SNP chip to sequence: a case study in a Chinese indigenous chicken population.
P2860
Imputation of missing genotypes from low- to high-density SNP panel in different population designs.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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name
Imputation of missing genotype ...... different population designs.
@en
Imputation of missing genotype ...... different population designs.
@nl
type
label
Imputation of missing genotype ...... different population designs.
@en
Imputation of missing genotype ...... different population designs.
@nl
prefLabel
Imputation of missing genotype ...... different population designs.
@en
Imputation of missing genotype ...... different population designs.
@nl
P2093
P2860
P356
P1433
P1476
Imputation of missing genotype ...... n different population designs
@en
P2093
P2860
P356
10.1111/AGE.12236
P50
P577
2014-11-28T00:00:00Z