Rezultati pretrage - Miguel Pérez‐Enciso

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  1. 1
    Qxpak.5: Old mixed model solutions for new genomics problems

    Qxpak.5: Old mixed model solutions for new genomics problems od Miguel Pérez‐Enciso, I. Misztal

    Izdano 2011
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  2. 2
    Massive parallel sequencing in animal genetics: wherefroms and wheretos

    Massive parallel sequencing in animal genetics: wherefroms and wheretos od Miguel Pérez‐Enciso, Luca Ferretti

    Izdano 2010
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  3. 3
    Qxpak: a versatile mixed model application for genetical genomics and QTL analyses

    Qxpak: a versatile mixed model application for genetical genomics and QTL analyses od Miguel Pérez‐Enciso, I. Misztal

    Izdano 2004
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  4. 4
    Optimization of selection response under restricted inbreeding

    Optimization of selection response under restricted inbreeding od M. Á. Toro, Miguel Pérez‐Enciso

    Izdano 1990
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  5. 5
    A Guide on Deep Learning for Complex Trait Genomic Prediction

    A Guide on Deep Learning for Complex Trait Genomic Prediction od Miguel Pérez‐Enciso, Laura M. Zingaretti

    Izdano 2019
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  6. 6
    On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge

    On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge od Daniel Gianola, Miguel Pérez‐Enciso, M. Á. Toro

    Izdano 2003
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  7. 7
    Data modeling as a main source of discrepancies in single and multiple marker association methods

    Data modeling as a main source of discrepancies in single and multiple marker association methods od Mônica Corrêa Ledur, Nicolas Navarro, Miguel Pérez‐Enciso

    Izdano 2009
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  8. 8
    Large-scale SNP genotyping in crosses between outbred lines: how useful is it?

    Large-scale SNP genotyping in crosses between outbred lines: how useful is it? od Mônica Corrêa Ledur, Nicolas Navarro, Miguel Pérez‐Enciso

    Izdano 2009
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  9. 9
    Sequence- vs. chip-assisted genomic selection: accurate biological information is advised

    Sequence- vs. chip-assisted genomic selection: accurate biological information is advised od Miguel Pérez‐Enciso, Juan Carlos Rincón Flórez, Andrés Legarra

    Izdano 2015
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  10. 10
    Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

    Can Deep Learning Improve Genomic Prediction of Complex Human Traits? od Pau Bellot, Gustavo de los Campos, Miguel Pérez‐Enciso

    Izdano 2018
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  11. 11
    Impact of breed and sex on porcine endocrine transcriptome: a bayesian biometrical analysis

    Impact of breed and sex on porcine endocrine transcriptome: a bayesian biometrical analysis od Miguel Pérez‐Enciso, André Luiz Julien Ferraz, Ana Ojeda, Manel López‐Béjar

    Izdano 2009
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  12. 12
    SNP calling by sequencing pooled samples

    SNP calling by sequencing pooled samples od Emanuele Raineri, Luca Ferretti, Anna Esteve‐Codina, Bruno Nevado, Simon Heath, Miguel Pérez‐Enciso

    Izdano 2012
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  13. 13
    Exploring the gonad transcriptome of two extreme male pigs with RNA-seq

    Exploring the gonad transcriptome of two extreme male pigs with RNA-seq od Anna Esteve‐Codina, Robert Kofler, Nicola Palmieri, Giovanni Bussotti, Cédric Notredame, Miguel Pérez‐Enciso

    Izdano 2011
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  14. 14
    Many QTLs with minor additive effects are associated with a large difference in growth between two selection lines in chickens

    Many QTLs with minor additive effects are associated with a large difference in growth between two selection lines in chickens od Lina Jacobsson, Hee-Bok Park, Per Wahlberg, Robert Fredriksson, Miguel Pérez‐Enciso, P.B. Siegel, Leif Andersson

    Izdano 2005
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  15. 15
    Whole-genome sequence analysis reveals differences in population management and selection of European low-input pig breeds

    Whole-genome sequence analysis reveals differences in population management and selection of European low-input pig breeds od J.M. Herrero-Medrano, Hendrik‐Jan Megens, Martien A. M. Groenen, Mirte Bosse, Miguel Pérez‐Enciso, R.P.M.A. Crooijmans

    Izdano 2014
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  16. 16
    Conservation genomic analysis of domestic and wild pig populations from the Iberian Peninsula

    Conservation genomic analysis of domestic and wild pig populations from the Iberian Peninsula od J.M. Herrero-Medrano, Hendrik‐Jan Megens, Martien A. M. Groenen, G. Ramis, Mirte Bosse, Miguel Pérez‐Enciso, R.P.M.A. Crooijmans

    Izdano 2013
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  17. 17
    Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species

    Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species od Laura M. Zingaretti, Salvador A. Gezan, Luís Felipe V. Ferrão, Luis F. Osorio, Amparo Monfort, Patricio Muñoz, Vance M. Whitaker, Miguel Pérez‐Enciso

    Izdano 2020
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  18. 18
    Copy number variation in the porcine genome inferred from a 60 k SNP BeadChip

    Copy number variation in the porcine genome inferred from a 60 k SNP BeadChip od Yuliaxis Ramayo‐Caldas, Anna Castelló, Ramona N. Pena, Estefânia Alves, Anna Mercadé, C.A. Souza, Ana I. Fernández, Miguel Pérez‐Enciso, J. M. Folch

    Izdano 2010
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  19. 19
    Test for positional candidate genes for body composition on pig chromosome 6

    Test for positional candidate genes for body composition on pig chromosome 6 od Óvilo Cristina, Angels Oliver, José Luís Noguera, Alex Clop, C. Barragán, L. Varona, Carmen Rodríguez, M. Á. Toro, Armand Sánchez, Miguel Pérez‐Enciso, L. Silió

    Izdano 2002
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  20. 20
    From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine

    From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine od Yuliaxis Ramayo‐Caldas, María Ballester, Marina Fortes, Anna Esteve‐Codina, Anna Castelló, J. L. Noguera, Ana I. Fernández, Miguel Pérez‐Enciso, Antônio Reverter, J. M. Folch

    Izdano 2014
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