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Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
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Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Legarra, Andres ; Reverter, Antonio

Genetics selection evolution (Paris), 2018-11, Vol.50 (1), p.53-53, Article 53 [Periódico revisado por pares]

France: BioMed Central Ltd

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2
Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
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Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods

Li, Bo ; Zhang, Nanxi ; Wang, You-Gan ; George, Andrew W ; Reverter, Antonio ; Li, Yutao

Frontiers in genetics, 2018-07, Vol.9, p.237-237 [Periódico revisado por pares]

Switzerland: Frontiers Media S.A

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3
A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle
A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle
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A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle

Bolormaa, Sunduimijid ; Pryce, Jennie E ; Reverter, Antonio ; Zhang, Yuandan ; Barendse, William ; Kemper, Kathryn ; Tier, Bruce ; Savin, Keith ; Hayes, Ben J ; Goddard, Michael E Flint, Jonathan

PLoS genetics, 2014-03, Vol.10 (3), p.e1004198-e1004198 [Periódico revisado por pares]

United States: Public Library of Science

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4
Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method
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Artigo 		Adicionar ao Meu Espaço

Correction to: Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Legarra, Andres ; Reverter, Antonio

Genetics selection evolution (Paris), 2019-11, Vol.51 (1), p.1-69, Article 69 [Periódico revisado por pares]

London: BioMed Central Ltd

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5
Dominance and epistatic genetic variances for litter size in pigs using genomic models
Dominance and epistatic genetic variances for litter size in pigs using genomic models
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Dominance and epistatic genetic variances for litter size in pigs using genomic models

Vitezica, Zulma G ; Reverter, Antonio ; Herring, William ; Legarra, Andres

Genetics selection evolution (Paris), 2018-12, Vol.50 (1), p.71-71, Article 71 [Periódico revisado por pares]

France: BioMed Central Ltd

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6
Sequence level genome-wide associations for bull production and fertility traits in tropically adapted bulls
Sequence level genome-wide associations for bull production and fertility traits in tropically adapted bulls
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Sequence level genome-wide associations for bull production and fertility traits in tropically adapted bulls

Tan, Wei Liang Andre ; Neto, Laercio Ribeiro Porto ; Reverter, Antonio ; McGowan, Michael ; Fortes, Marina Rufino Salinas

BMC genomics, 2023-06, Vol.24 (1), p.365-365, Article 365 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation
A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation
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A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation

Hudson, Nicholas J ; Reverter, Antonio ; Dalrymple, Brian P Margalit, Hanah

PLoS computational biology, 2009-05, Vol.5 (5), p.e1000382-e1000382 [Periódico revisado por pares]

United States: Public Library of Science

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8
Beyond differential expression: the quest for causal mutations and effector molecules
Beyond differential expression: the quest for causal mutations and effector molecules
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Beyond differential expression: the quest for causal mutations and effector molecules

Hudson, Nicholas J ; Dalrymple, Brian P ; Reverter, Antonio

BMC genomics, 2012-07, Vol.13 (1), p.356-356 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation
Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation
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Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation

Mohamed, Amin R ; Naval-Sanchez, Marina ; Menzies, Moira ; Evans, Bradley ; King, Harry ; Reverter, Antonio ; Kijas, James W

BMC genomics, 2022-06, Vol.23 (1), p.413-413, Article 413 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Sheep genome functional annotation reveals proximal regulatory elements contributed to the evolution of modern breeds
Sheep genome functional annotation reveals proximal regulatory elements contributed to the evolution of modern breeds
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Sheep genome functional annotation reveals proximal regulatory elements contributed to the evolution of modern breeds

Naval-Sanchez, Marina ; Nguyen, Quan ; McWilliam, Sean ; Porto-Neto, Laercio R ; Tellam, Ross ; Vuocolo, Tony ; Reverter, Antonio ; Perez-Enciso, Miguel ; Brauning, Rudiger ; Clarke, Shannon ; McCulloch, Alan ; Zamani, Wahid ; Naderi, Saeid ; Rezaei, Hamid Reza ; Pompanon, Francois ; Taberlet, Pierre ; Worley, Kim C ; Gibbs, Richard A ; Muzny, Donna M ; Jhangiani, Shalini N ; Cockett, Noelle ; Daetwyler, Hans ; Kijas, James

Nature communications, 2018-02, Vol.9 (1), p.859-13, Article 859 [Periódico revisado por pares]

England: Nature Publishing Group

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