Projects per year
Personal profile
Education/Academic qualification
Ph. D., Complutense University of Madrid
Award Date: 1 Jan 1990
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Dive into the research topics where Miguel Pérez Enciso is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Projects
- 5 Finished
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Genómica porcina de nueva generación: adaptación a climas extremos - (NGPig)
Pérez Enciso, M., Castelló, A., Esteve Codina, A., Ferretti , L. & Yang, B.
1/01/11 → 31/12/14
Project
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La huella de la domesticación y de la selección en genes candidatos para el metabolismo adiposo y el comportamiento en porcino: Estudio poblacional
Pérez Enciso, M., Ojeda García, A., Castelló Farré, A. M., Huang, L. & Rodriguez Valdovinos, MªCarmen
1/12/07 → 30/11/10
Project
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Impacto de la domesticación y de la colonización de América sobre la diversidad genética porcina.
Pérez Enciso, M., Amills Eras, M., Da Silva Mariante, A., Mcmanus Pimentel, M. & Rezende Pavia, Samuel
23/01/07 → 23/01/08
Project
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Utilització de microarrays per a l'estudi de la resistència i/o susceptibilitat genètica a la circovirosi porcina
Sánchez Bonastre, A., Amills Eras, M., Folch Albareda, J. M., Garrido Pavon, Juan Jose, Gómez Raya, Luis, Pérez Enciso, M., Segalés Coma, Joaquim & Toro Ibáñez, Miguel Angel
1/09/04 → 31/08/08
Project
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Accuracy of genomic predictions using different imputation error rates in aquaculture breeding programs: A simulation study
Dufflocq, P., Pérez-Enciso, M., Lhorente, J. P. & Yáñez, J. M., 30 Mar 2019, In: Aquaculture. 503, p. 225-230Research output: Contribution to journal › Article › Research
9 Citations (Scopus) -
A functional regulatory variant of MYH3 influences muscle fiber-type composition and intramuscular fat content in pigs
Cho, I. C., Park, H. B., Ahn, J. S., Han, S. H., Lee, J. B., Lim, H. T., Yoo, C. K., Jung, E. J., Kim, D. H., Sun, W. S., Ramayo-Caldas, Y., Kim, S. G., Kang, Y. J., Kim, Y. K., Shin, H. S., Seong, P. N., Hwang, I. S., Park, B. Y., Hwang, S., Lee, S. S. & 7 others, , 1 Oct 2019, In: PLoS Genetics. 15, p. e1008279Research output: Contribution to journal › Article › Research
28 Citations (Scopus) -
A guide for using deep learning for complex trait genomic prediction
Pérez-Enciso, M. & Zingaretti, L. M., 1 Jul 2019, In: Genes. 10, 7, 553.Research output: Contribution to journal › Review article › Research › peer-review
34 Citations (Scopus) -
HIV drug resistance prediction with weighted categorical kernel functions
Ramon, E., Belanche-Muñoz, L. & Pérez-Enciso, M., 30 Jul 2019, In: BMC Bioinformatics. 20, 410.Research output: Contribution to journal › Article › Research
12 Citations (Scopus) -
Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows
Ramayo-Caldas, Y., Zingaretti, L., Popova, M., Estellé, J., Bernard, A., Pons, N., Bellot, P., Mach, N., Rau, A., Roume, H., Perez-Enciso, M., Faverdin, P., Edouard, N., Ehrlich, D., Morgavi, D. P. & Renand, G., 1 Jan 2019, In: Journal of Animal Breeding and Genetics.Research output: Contribution to journal › Article › Research
20 Citations (Scopus)