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Refinado por: assunto: Beef Cattle remover
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1
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
Chromatin accessibility and regulatory vocabulary across indicine cattle tissues
Chromatin accessibility and regulatory vocabulary across indicine cattle tissues
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Chromatin accessibility and regulatory vocabulary across indicine cattle tissues

Alexandre, Pâmela A ; Naval-Sánchez, Marina ; Menzies, Moira ; Nguyen, Loan T ; Porto-Neto, Laercio R ; Fortes, Marina R S ; Reverter, Antonio

Genome Biology, 2021-09, Vol.22 (1), p.273-273, Article 273 [Periódico revisado por pares]

England: BioMed Central

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4
Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq
Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq
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Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq

Weber, Kristina L ; Welly, Bryan T ; Van Eenennaam, Alison L ; Young, Amy E ; Porto-Neto, Laercio R ; Reverter, Antonio ; Rincon, Gonzalo PENA i SUBIRÀ, Ramona Natacha

PloS one, 2016-03, Vol.11 (3), p.e0152274-e0152274 [Periódico revisado por pares]

United States: Public Library of Science

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5
Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle
Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle
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Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle

Cánovas, Angela ; Reverter, Antonio ; DeAtley, Kasey L ; Ashley, Ryan L ; Colgrave, Michelle L ; Fortes, Marina R S ; Islas-Trejo, Alma ; Lehnert, Sigrid ; Porto-Neto, Laercio ; Rincón, Gonzalo ; Silver, Gail A ; Snelling, Warren M ; Medrano, Juan F ; Thomas, Milton G de la Fuente, Alberto

PloS one, 2014-07, Vol.9 (7), p.e102551-e102551 [Periódico revisado por pares]

United States: Public Library of Science

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6
Ancestral alleles defined for 70 million cattle variants using a population-based likelihood ratio test
Ancestral alleles defined for 70 million cattle variants using a population-based likelihood ratio test
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Ancestral alleles defined for 70 million cattle variants using a population-based likelihood ratio test

Dorji, Jigme ; Reverter, Antonio ; Alexandre, Pamela A ; Chamberlain, Amanda J ; Vander-Jagt, Christy J ; Kijas, James ; Porto-Neto, Laercio R

Genetics selection evolution (Paris), 2024-02, Vol.56 (1), p.11-11, Article 11 [Periódico revisado por pares]

France: BioMed Central Ltd

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7
Gene expression identifies metabolic and functional differences between intramuscular and subcutaneous adipocytes in cattle
Gene expression identifies metabolic and functional differences between intramuscular and subcutaneous adipocytes in cattle
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Gene expression identifies metabolic and functional differences between intramuscular and subcutaneous adipocytes in cattle

Hudson, Nicholas J ; Reverter, Antonio ; Griffiths, William J ; Yutuc, Eylan ; Wang, Yuqin ; Jeanes, Angela ; McWilliam, Sean ; Pethick, David W ; Greenwood, Paul L

BMC genomics, 2020-01, Vol.21 (1), p.77-77, Article 77 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle
Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle
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Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle

Fernandes, Anna Carolina ; Reverter, Antonio ; Keogh, Kate ; Alexandre, Pâmela Almeida ; Afonso, Juliana ; Palhares, Julio Cesar Pascale ; Cardoso, Tainã Figueiredo ; Malheiros, Jessica Moraes ; Bruscadin, Jennifer Jessica ; de Oliveira, Priscila Silva Neubern ; Mourão, Gerson Barreto ; de Almeida Regitano, Luciana Correia ; Coutinho, Luiz Lehmann

Scientific reports, 2024-06, Vol.14 (1), p.13682-19 [Periódico revisado por pares]

London: Nature Publishing Group

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9
Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle
Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle
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Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle

Fonseca, Pablo Augusto de Souza ; Id-Lahoucine, Samir ; Reverter, Antonio ; Medrano, Juan F ; Fortes, Marina S ; Casellas, Joaquim ; Miglior, Filippo ; Brito, Luiz ; Carvalho, Maria Raquel S ; Schenkel, Flávio S ; Nguyen, Loan T ; Porto-Neto, Laercio R ; Thomas, Milton G ; Cánovas, Angela Hansen, Peter J.

PloS one, 2018-10, Vol.13 (10), p.e0205295-e0205295 [Periódico revisado por pares]

United States: Public Library of Science

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10
Systems biology analysis merging phenotype, metabolomic and genomic data identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and cellular maintenance processes as major contributors to genetic variability in bovine feed efficiency
Systems biology analysis merging phenotype, metabolomic and genomic data identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and cellular maintenance processes as major contributors to genetic variability in bovine feed efficiency
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Systems biology analysis merging phenotype, metabolomic and genomic data identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and cellular maintenance processes as major contributors to genetic variability in bovine feed efficiency

Widmann, Philipp ; Reverter, Antonio ; Weikard, Rosemarie ; Suhre, Karsten ; Hammon, Harald M ; Albrecht, Elke ; Kuehn, Christa PENA i SUBIRÀ, Ramona Natacha

PloS one, 2015-04, Vol.10 (4), p.e0124574-e0124574 [Periódico revisado por pares]

United States: Public Library of Science

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