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Run8: The 1000 Bull Genomes Project

posted on 2024-06-11, 06:37 authored by European Bioinformatics Institute, Agriculture Victoria, University of Aarhus, University of Alberta, CRV, Wageningen University & Research, Technical University of Munich, Institut national de la recherche agronomique (INRA). Qualitas AG, Natural Resources Institute Finland (Luke), Teagasc, University of Bern, University of Guelph, Iowa State University, China Agricultural University, University of Missouri, AgResearch, University of Kiel, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Scotland's Rural College (SRUC), Università Cattolica del Sacro Cuore, Universidad de Zaragoza, Wroclaw University of Environmental an Life Sciences, Universitat Autònoma de Barcelona, Norwegian University of Life Sciences, Leibniz Institute For Farm Animal Biology, United States Department of Agriculture (USDA), Swedish University of Life Sciences, University of Queensland, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Vereinigte Informationssysteme Tierhaltung (VIT), Trinity College Dublin, Humboldt University of Berlin, International Livestock Research Institute (ILRI ), Royal Veterinary College, Eidgenössische Technische Hochschule Zürich (ETH Zurich), University of Göttingen, Northwest University, University of Wisconsin, University of California, Foshan University, Michigan State University, National Institute for Biotechnology and Genetic Engineering (NIBGE)
The 1000 Bull Genomes Project aims to provide, for the bovine research community, a large database for imputation of genetic variants for genomic prediction and genome wide association studies in all cattle breeds. The project aims to develop a resource to allow project partners to impute full genome sequence in bulls and cows that have been genotyped with SNP arrays. This could be used, for example, for improving the accuracy of genomic prediction, as well as in genome wide association studies interested in the identification of causal mutations.


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BioProject Curation Staff


National Center for Biotechnology Information

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  • Non-geospatial

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  • biota

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  • Public

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It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA699222 in the NCBI BioProject database ("

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