about
Defining window-boundaries for genomic analyses using smoothing spline techniquesGenomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarkingPerformance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Metafounders are related to F st fixation indices and reduce bias in single-step genomic evaluationsPrediction of the reliability of genomic breeding values for crossbred performance.Accuracy of genomic selection in simulated populations mimicking the extent of linkage disequilibrium in beef cattleSimulated data for genomic selection and genome-wide association studies using a combination of coalescent and gene drop methods.Genomic evaluations with many more genotypesAccuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.Comparison of genome-wide association methods in analyses of admixed populations with complex familial relationshipsMaximizing crossbred performance through purebred genomic selection.netview p: a network visualization tool to unravel complex population structure using genome-wide SNPs.A crossbred reference population can improve the response to genomic selection for crossbred performance.Assigning breed origin to alleles in crossbred animals.Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).Incorporating parent-of-origin effects in whole-genome prediction of complex traits.Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture.The Dimensionality of Genomic Information and Its Effect on Genomic PredictionEvaluation of breeding strategies for polledness in dairy cattle using a newly developed simulation framework for quantitative and Mendelian traits.Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWASSystematic genotyping of groups of cows to improve genomic estimated breeding values of selection candidatesIdentity-by-descent genomic selection using selective and sparse genotyping.Allele frequency changes due to hitch-hiking in genomic selection programs.Detection of recombination events, haplotype reconstruction and imputation of sires using half-sib SNP genotypes.Persistency of accuracy of genomic breeding values for different simulated pig breeding programs in developing countries.Opportunities for genome-wide selection for pig breeding in developing countries.Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium.Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations.Incorporating single-step strategy into random regression model to enhance genomic prediction of longitudinal trait.Accuracy of genomic breeding values revisited: Assessment of two established approaches and a novel one to determine the accuracy in two-step genomic prediction.Geno-Diver: A combined coalescence and forward-in-time simulator for populations undergoing selection for complex traits.Persistency of Prediction Accuracy and Genetic Gain in Synthetic Populations Under Recurrent Genomic Selection.A comparison of methods to estimate genomic relationships using pedigree and markers in livestock populations.A combined coalescence gene-dropping tool for evaluating genomic selection in complex scenarios (ms2gs).Variational bayesian method of estimating variance components.Genetic evaluation with major genes and polygenic inheritance when some animals are not genotyped using gene content multiple-trait BLUP.Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses--a simulation study.Incorporation of causative quantitative trait nucleotides in single-step GBLUP.Genetic prediction of complex traits: integrating infinitesimal and marked genetic effectsQuality control of genotypes using heritability estimates of gene content at the marker.
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
QMSim: a large-scale genome simulator for livestock.
@en
QMSim: a large-scale genome simulator for livestock.
@nl
type
label
QMSim: a large-scale genome simulator for livestock.
@en
QMSim: a large-scale genome simulator for livestock.
@nl
prefLabel
QMSim: a large-scale genome simulator for livestock.
@en
QMSim: a large-scale genome simulator for livestock.
@nl
P2860
P356
P1433
P1476
QMSim: a large-scale genome simulator for livestock.
@en
P2093
Flavio S Schenkel
Mehdi Sargolzaei
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP045
P407
P577
2009-01-28T00:00:00Z