Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.
about
Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle.Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattleComparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken.Accuracy of genomic prediction using imputed whole-genome sequence data in white layers.LinkImputeR: user-guided genotype calling and imputation for non-model organisms.Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction.Accuracy of genotype imputation in Nelore cattleStrategies for genotype imputation in composite beef cattle.Accuracy of imputation using the most common sires as reference population in layer chickens.Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chickenGenomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction.Imputation Accuracy from Low to Moderate Density Single Nucleotide Polymorphism Chips in a Thai Multibreed Dairy Cattle PopulationHigh-density marker imputation accuracy in sixteen French cattle breedsWhole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chipEvaluation of measures of correctness of genotype imputation in the context of genomic prediction: a review of livestock applications.Performance of genomic selection under a single-step approach in autochthonous Spanish beef cattle populations.Right-hand-side updating for fast computing of genomic breeding values.Estimation of variance and genomic prediction using genotypes imputed from low-density marker subsets for carcass traits in Japanese black cattle.Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.Imputation of high-density genotypes in the Fleckvieh cattle population.Imputation of unordered markers and the impact on genomic selection accuracy.Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle.Use of partial least squares regression to impute SNP genotypes in Italian cattle breeds.Within- and across-breed imputation of high-density genotypes in dairy and beef cattle from medium- and low-density genotypes.Evaluation of developed low-density genotype panels for imputation to higher density in independent dairy and beef cattle populations.Accuracy of imputation of single nucleotide polymorphism marker genotypes from low-density panels in Japanese Black cattle.Imputation of missing genotypes from low- to high-density SNP panel in different population designs.Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny.Genomic prediction applied to high-biomass sorghum for bioenergy production.Accuracy of genotype imputation in Labrador Retrievers
P2860
Q30836450-03501E9E-718A-42E4-A65B-7C784521B499Q30882056-25442EDF-1E8C-46C2-B99C-F5999380CCB6Q30994216-AA21A7B5-2530-48F3-BD7B-8BFE1BDA989FQ31008999-01B7A644-8E7C-4557-A808-95D25B9B6B0DQ31037329-DB546510-E1A2-472D-AB42-C369F274A367Q33892475-2DDD04A4-6694-4843-88F0-A289868280F7Q33904620-5E4B8485-D502-4F36-9931-E10324A083BEQ34316528-072A29C5-1BB2-414B-BA3E-10591F0727D0Q35739367-4AB35DA3-499E-484C-A0DF-A21F9762663EQ35748164-85DAE188-23F8-4123-AA38-CED7B7AAD0E4Q35806649-539BBAF0-28BB-4AB5-9FBC-ADA8379C9ACAQ36252973-CE01A0AF-F51A-4B2B-8421-A3FF1621554BQ36398081-36C7469D-9CA8-47AA-AB98-7AFE37C6225DQ36661629-E01BB997-3A36-4879-8A6E-5C03E85E229DQ37355626-647A275C-2D22-4FE2-A7CD-8FEEC70EBCB2Q37587796-9CFC2761-2A17-484E-9135-5081FDC628A1Q37593182-8285EF58-8F38-42FB-88D1-4BA0D5204AF2Q38232111-A593C171-3851-4D4F-AECF-6BE36210C51EQ38977513-754B993B-7CE4-4C98-B8A1-DEF3A3F5FB28Q40005705-A71A1331-99BE-4031-AAE8-4FD26208B936Q40190924-17688C1A-3113-4CD4-B5B2-523E0D1EADB8Q40549428-57B60D9C-DBF7-42B4-8650-3B624948E13AQ41071347-26CFB11E-AACB-483A-B7F2-A16F88EF4D28Q41834299-545B08F7-BAC5-4F91-9540-819C14AE69C3Q41965829-B38976DB-B5B8-44FD-89CB-079A1186C592Q42238358-BC812D0D-0447-47CC-9FEC-E94A893FB7B8Q44131299-47E5123C-F4B9-4922-81E1-D37457D8AF6CQ45951666-28E90145-DDC2-42B0-8B7B-C6961B6B01EFQ51490995-83B5ECC7-92A1-41ED-963F-2F7132934E2CQ53383615-86A8F738-0ACE-44C8-A037-46B1A5672C48Q53687067-4F45A568-9C1E-4144-934D-823CB5BAEEF6Q54943768-51992C53-F137-4889-806A-C2D86D8064CEQ57171435-BE2B63FF-9E1C-4655-A170-8A31974A6765
P2860
Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@en
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@nl
type
label
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@en
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@nl
prefLabel
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@en
Imputation of genotypes with l ...... lues in Dutch Holstein cattle.
@nl
P356
P1476
Imputation of genotypes with l ...... alues in Dutch Holstein cattle
@en
P2093
C Schrooten
M P L Calus
P304
P356
10.3168/JDS.2011-4490
P407
P577
2012-02-01T00:00:00Z