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Genetics

D-Index
49
Citations
9964
World Ranking
3995
National Ranking
74

Overview

Miguel Pérez-Enciso is affiliated with the Autonomous University of Barcelona in Spain and has a significant research presence in the fields of Biochemistry, Genetics, and Molecular Biology, as well as Agricultural and Biological Sciences. Their work predominantly focuses on genetics, plant science, and molecular biology, with specific attention to genetics and phenotypic traits in livestock and plants.

Research topics covered by their publications include:

  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Genetics and Plant Breeding
  • Leaf Properties and Growth Measurement
  • Animal Behavior and Welfare Studies
  • Smart Agriculture and AI
  • Effects of Environmental Stressors on Livestock

They have shared frequent collaborations with several researchers, notably:

  • Laura M. Zingaretti
  • Yuliaxis Ramayo-Caldas
  • Sebastián E. Ramos-Onsins
  • Amparo Monfort
  • Ioanna-Theoni Vourlaki

Their publication record includes contributions mainly to the following venues:

  • Genetics Selection Evolution
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Theoretical and Applied Genetics
  • Plant Phenomics
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers by Miguel Pérez-Enciso cover a range of complex genetics and phenomics topics, such as:

  • "Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species," 2020, Frontiers in Plant Science
  • "Phenomes: the current frontier in animal breeding," 2021, Genetics Selection Evolution
  • "Opportunities and limits of combining microbiome and genome data for complex trait prediction," 2021, Genetics Selection Evolution
  • "Transposable element polymorphisms improve prediction of complex agronomic traits in rice," 2022, Theoretical and Applied Genetics
  • "Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry," 2021, Plant Phenomics

Best Publications

  • Analyses of pig genomes provide insight into porcine demography and evolution

    Martien A. M. Groenen;Alan L. Archibald;Hirohide Uenishi;Christopher K. Tuggle

  • Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach

    Miguel Pérez-Enciso;Michel Tenenhaus

  • A comparison of carcass, meat quality and histochemical characteristics of Iberian (Guadyerbas line) and Landrace pigs

    X Serra;F Gil;M Pérez-Enciso;M.A Oliver

  • Pig Domestication and Human-Mediated Dispersal in Western Eurasia Revealed through Ancient DNA and Geometric Morphometrics

    Claudio Ottoni;Linus Girdland Flink;Linus Girdland Flink;Allowen Evin;Allowen Evin;Christina Geörg;Christina Geörg

  • Can Deep Learning Improve Genomic Prediction of Complex Human Traits

    Pau Bellot;Gustavo de los Campos;Miguel Pérez-Enciso

  • A QTL on pig chromosome 4 affects fatty acid metabolism: evidence from an Iberian by Landrace intercross.

    M Pérez-Enciso;A Clop;J L Noguera;C Ovilo

  • Regulatory impact factors

    Antonio Reverter;Nicholas J. Hudson;Shivashankar H. Nagaraj;Miguel Pérez-Enciso

  • Sequence- vs. chip-assisted genomic selection: accurate biological information is advised

    Miguel Pérez-Enciso;Miguel Pérez-Enciso;Juan C Rincón;Juan C Rincón;Andrés Legarra

  • Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition

    Yuliaxis Ramayo-Caldas;Nuria Mach;Nuria Mach;Anna Esteve-Codina;Jordi Corominas

  • Qxpak: a versatile mixed model application for genetical genomics and QTL analyses

    M. Pérez-Enciso;I. Misztal

  • A QTL for intramuscular fat and backfat thickness is located on porcine chromosome 6.

    Cristina Óvilo;Miguel Pérez-Enciso;Carmen Barragán;Alex Clop

  • Genome-Wide Footprints of Pig Domestication and Selection Revealed through Massive Parallel Sequencing of Pooled DNA

    Andreia J. Amaral;Luca Ferretti;Hendrik Jan Megens;Richard P.M.A. Crooijmans

  • A Guide for Using Deep Learning for Complex Trait Genomic Prediction.

    Miguel Pérez-Enciso;Laura M. Zingaretti

  • Optimization of selection response under restricted inbreeding.

    M Toro;M Pérez-Enciso

  • Population genomics from pool sequencing.

    Luca Ferretti;Sebastián E. Ramos-Onsins;Miguel Pérez-Enciso

  • Quantitative trait locus mapping for meat quality traits in an Iberian x Landrace F2 pig population.

    C. Ovilo;A. Clop;J. L. Noguera;M. A. Oliver

  • Integrating Y-Chromosome, Mitochondrial, and Autosomal Data to Analyze the Origin of Pig Breeds

    Óscar Ramírez;A. Ojeda;A. Tomás;David Gallardo

  • On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge

    Daniel Gianola;Miguel Perez-Enciso;Miguel A Toro

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

    Lina Jacobsson;Hee-Bok Park;Per Wahlberg;Robert Fredriksson

  • Test for positional candidate genes for body composition on pig chromosome 6

    Óvilo Cristina;Angels Oliver;José Luis Noguera;Alex Clop

Frequent Co-Authors

Josep M. Folch
Josep M. Folch Autonomous University of Barcelona
Armand Sánchez
Armand Sánchez Autonomous University of Barcelona
Luis Varona
Luis Varona University of Zaragoza
Miguel A. Toro
Miguel A. Toro Technical University of Madrid
Lusheng Huang
Lusheng Huang Jiangxi Agricultural University
Hendrik-Jan Megens
Hendrik-Jan Megens Wageningen University & Research
Martien A. M. Groenen
Martien A. M. Groenen Wageningen University & Research
Richard P. M. A. Crooijmans
Richard P. M. A. Crooijmans Wageningen University & Research
Antonio Reverter
Antonio Reverter Commonwealth Scientific and Industrial Research Organisation
Lawrence B. Schook
Lawrence B. Schook University of Illinois at Urbana-Champaign

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