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Articles 48 records found  beginprevious16 - 25nextend  jump to record: Search took 0.01 seconds. 
16.
11 p, 594.5 KB Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows / Ramayo-Caldas, Yuliaxis (Institut de Recerca i Tecnologia Agroalimentàries) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Popova, Milka (Université Clermont Auvergne. Institut National de la Recherche Agronomique. VetAgro Sup (France)) ; Estellé, Jordi (Université Paris-Saclay. Institut National de la Recherche Agronomique. Génétique Animale et Biologie Intégrative (France)) ; Bernard, Aurelien (Université Clermont Auvergne. Institut National de la Recherche Agronomique. VetAgro Sup (France)) ; Pons, Nicolas (Institut National de la Recherche Agronomique. Metagenopolis Unit (France)) ; Bellot, Pau (Centre de Recerca en Agrigenòmica) ; Mach Casellas, Núria (Université Paris-Saclay. Institut National de la Recherche Agronomique. AgroParisTech (France)) ; Rau, Andrea (Université Paris-Saclay. Institut National de la Recherche Agronomique. AgroParisTech (France)) ; Roume, Hugo (Institut National de la Recherche Agronomique. Metagenopolis Unit (France)) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Faverdin, Philippe (Institut National de la Recherche Agronomique (França)) ; Edouard, Nadège (Institut National de la Recherche Agronomique (França)) ; Ehrlich, Dusko (Institut National de la Recherche Agronomique. Metagenopolis Unit (France)) ; Morgavi, Diego P. (Université Clermont Auvergne. Institut National de la Recherche Agronomique (France)) ; Renand, Gilles (Université Paris-Saclay. Institut National de la Recherche Agronomique. AgroParisTech (France))
Mitigation of greenhouse gas emissions is relevant for reducing the environmental impact of ruminant production. In this study, the rumen microbiome from Holstein cows was characterized through a combination of 16S rRNA gene and shotgun metagenomic sequencing. [...]
2020 - 10.1111/jbg.12427
Journal of Animal Breeding and Genetics, Vol. 137, Issue 1 (January 2020) , p. 49-59  
Detailed record - Creative Commons
17.
9 p, 1.4 MB SeqBreed : a python tool to evaluate genomic prediction in complex scenarios / Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Ramírez-Ayala, Lino César (Centre de Recerca en Agrigenòmica) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica)
Background: Genomic prediction (GP) is a method whereby DNA polymorphism information is used to predict breeding values for complex traits. Although GP can significantly enhance predictive accuracy, it can be expensive and difficult to implement. [...]
2020 - 10.1186/s12711-020-0530-2
Genetics Selection Evolution, Vol. 52 (February 2020) , art. 7  
Detailed record - Creative Commons
18.
13 p, 1.6 MB HIV drug resistance prediction with weighted categorical kernel functions / Ramon, Elies (Centre de Recerca en Agrigenòmica) ; Belanche Muñoz, Lluís A. (Lluís Antoni) (Universitat Politècnica de Catalunya. Departament de Ciències de la Computació) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Background: Antiretroviral drugs are a very effective therapy against HIV infection. However, the high mutation rate of HIV permits the emergence of variants that can be resistant to the drug treatment. [...]
2019 - 10.1186/s12859-019-2991-2
BMC bioinformatics, Vol. 20 (July 2019) , art. 410  
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19.
21 p, 1.4 MB A Deep Catalog of Autosomal Single Nucleotide Variation in the Pig / Bianco, Erica (Centre de Recerca en Agrigenòmica) ; Nevado, Bruno (Centre de Recerca en Agrigenòmica) ; Ramos-Onsins, Sebastian (Centre de Recerca en Agrigenòmica) ; Perez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
A comprehensive catalog of variability in a given species is useful for many important purposes, e. g. , designing high density arrays or pinpointing potential mutations of economic or physiological interest. [...]
2015 - 10.1371/journal.pone.0118867
PloS one, Vol. 10 Núm. 3 (2015)  
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20.
16 p, 1.0 MB Characterization of the porcine nutrient and taste receptor gene repertoire in domestic and wild populations across the globe / da Silva, Elizabete C. (Centre de Recerca en Agrigenòmica) ; de Jager, Nadia (University of Queensland. Centre for Nutrition and Food Sciences.) ; Burgos-Paz, William (Centre de Recerca en Agrigenòmica) ; Reverter, Antonio (CSIRO. Agriculture and Food) ; Roura, Eugeni (University of Queensland. Centre for Nutrition and Food Sciences) ; Perez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
The oral GPCR nutrient/taste receptor gene repertoire consists of the Tas1r family (sweet and umami tastes), the Tas2r family (bitter taste) as well as several other potential candidate sensors of amino acids, peptones and fatty acids. [...]
2014 - 10.1186/1471-2164-15-1057
BMC genomics, Vol. 15 (2014)  
Detailed record - Creative Commons
21.
12 p, 731.4 KB Whole-genome sequence analysis reveals differences in population management and selection of European low-input pig breeds / Perez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Herrero-Medrano, Juan Manuel (Wageningen University. Animal Breeding and Genomics Centre) ; Megens, Hendrik-Jan (Wageningen University. Animal Breeding and Genomics Centre) ; Groenen, Martien A. M. (Wageningen University. Animal Breeding and Genomics Centre) ; Bosse, Mirte (Wageningen University. Animal Breeding and Genomics Centre) ; Crooijmans, Richard (Wageningen University. Animal Breeding and Genomics Centre)
A major concern in conservation genetics is to maintain the genetic diversity of populations. Genetic variation in livestock species is threatened by the progressive marginalisation of local breeds in benefit of high-output pigs worldwide. [...]
2014 - 10.1186/1471-2164-15-601
BMC genomics, Vol. 15 (2014)  
Detailed record - Creative Commons
22.
8 p, 426.0 KB SNP calling by sequencing pooled samples / Perez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Esteve-Codina, Anna (Centre de Recerca en Agrigenòmica) ; Ferretti, Luca (Centre de Recerca en Agrigenòmica) ; Raineri, Emanuele (Centre Nacional d'Anàlisi Genòmica) ; Nevado, Bruno (University of Oxford. Department of Plant Sciences) ; Heath, Simon (Centre Nacional d'Anàlisi Genòmica)
Performing high throughput sequencing on samples pooled from different individuals is a strategy to characterize genetic variability at a small fraction of the cost required for individual sequencing. [...]
2012 - 10.1186/1471-2105-13-239
BMC bioinformatics, Vol. 13 (2012)  
Detailed record - Creative Commons
23.
26 p, 3.5 MB A functional regulatory variant of MYH3 influences muscle fiber-type composition and intramuscular fat content in pigs / Cho, In-Cheol (Rural Development Administration. National Institute of Animal Science) ; Park, Hee-Bok (Kongju National University. College of Industrial Sciences. Department of Animal Resources Science) ; Ahn, Jin Seop (Korea Research Institute of Bioscience and Biotechnology. Biotherapeutics Translational Research Center) ; Han, Sang-Hyun (Jeju National University. Educational Science Research Institute) ; Lee, JaeBong (Chonbuk National University. Korea Zoonosis Research Institute) ; Lim, Hyun-Tae (Gyeongsang National University. College of Agriculture and Life Sciences) ; Yoo, Chae-Kyoung (Gyeongsang National University. Institute of Agriculture and Life Science.) ; Jung, Eun-Ji (Bio-Medical Science Co., Ltd) ; Kim, Dong-Hwan (Korea Research Institute of Bioscience and Biotechnology. Biotherapeutics Translational Research Center) ; Sun, Wu-Sheng (Korea Research Institute of Bioscience and Biotechnology. Biotherapeutics Translational Research Center) ; Ramayo-Caldas, Yuliaxis (Institut de Recerca i Tecnologia Agroalimentàries) ; Kim, Sang-Geum (Rural Development Administration. National Institute of Animal Science) ; Kang, Yong-Jun (Rural Development Administration. National Institute of Animal Science) ; Kim, YooKyung (Jeju National University. Educational Science Research Institute) ; Shin, Hyun-Sook (Rural Development Administration. National Institute of Animal Science) ; Seong, Pil-Nam (Rural Development Administration. National Institute of Animal Science) ; Hwang, In-Sul (Rural Development Administration. National Institute of Animal Science) ; Park, Beom-Young (Rural Development Administration. National Institute of Animal Science) ; Hwang, Seongsoo (Rural Development Administration. National Institute of Animal Science) ; Lee, Sung-Soo (Rural Development Administration. National Institute of Animal Science) ; Ryu, Youn-Chul (Jeju National University. Division of Biotechnology. SARI) ; Lee, Jun-Heon (Chungnam National University. Division of Animal and Dairy Science) ; Ko, MoonSuck (Rural Development Administration. National Institute of Animal Science) ; Lee, Kichoon (Ohio State University. College of Food Agricultural and Environmental Sciences) ; Andersson, Göran (Swedish University of Agricultural Sciences. Department of Animal Breeding and Genetics) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Lee, JeongWoong (Korea Research Institute of Bioscience and Biotechnology. Biotherapeutics Translational Research Center)
Muscle development and lipid accumulation in muscle critically affect meat quality of livestock. However, the genetic factors underlying myofiber-type specification and intramuscular fat (IMF) accumulation remain to be elucidated. [...]
2019 - 10.1371/journal.pgen.1008279
PLoS Genetics, Vol. 15, Núm. 10 (October 2019) , art. e1008279  
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24.
19 p, 2.0 MB A guide for using deep learning for complex trait genomic prediction / Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica)
Deep learning (DL) has emerged as a powerful tool to make accurate predictions from complex data such as image, text, or video. However, its ability to predict phenotypic values from molecular data is less well studied. [...]
2019 - 10.3390/genes10070553
Genes, Vol. 10, Issue 7 (July 2019) , art. 553  
Detailed record - Creative Commons
25.
8 p, 1.0 MB pSBVB : A versatile simulation tool to evaluate genomic selection in polyploid species / Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Monfort, Amparo (Centre de Recerca en Agrigenòmica) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Genomic Selection (GS) is the procedure whereby molecular information is used to predict complex phenotypes and it is standard in many animal and plant breeding schemes. However, only a small number of studies have been reported in horticultural crops, and in polyploid species in particular. [...]
2019 - 10.1534/g3.118.200942
G3, Vol. 9, Issue 2 (February 2019) , p. 327-334  
Detailed record - Creative Commons

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