Ag Data Commons
Browse

File(s) stored somewhere else

Please note: Linked content is NOT stored on Ag Data Commons and we can't guarantee its availability, quality, security or accept any liability.

Run8: The 1000 Bull Genomes Project

dataset
posted on 2024-01-27, 05:09 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.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2021-02-03

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genetics

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJEB42783

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC