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Paper Details

The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.
Mamm Genome
7
2023
OBA, QTL, Quantitative Trait Loci, cells, wild-type
Biological Ontologies, Biological Science Disciplines, Genome-Wide Association Study, Phenotype
Author NameAffiliation
Raymund StefancsikEuropean Bioinformatics Institute (EMBL-EBI)
Raymund StefancsikEuropean Bioinformatics Institute (EMBL-EBI)
James P BalhoffRenaissance Computing Institute, University of North Carolina
James P BalhoffRenaissance Computing Institute, University of North Carolina
Meghan A BalkUniversity of Oslo
Robyn L Ball
Susan M Bello
Susan M Bello
Anita R CaronEuropean Bioinformatics Institute (EMBL-EBI)
Elissa J Chesler
Elissa J Chesler
Vinicius de SouzaEuropean Bioinformatics Institute (EMBL-EBI)
Sarah GehrkeUniversity of Colorado
Melissa A HaendelUniversity of Colorado
Melissa A HaendelUniversity of Colorado
Laura W HarrisEuropean Bioinformatics Institute (EMBL-EBI)
Nomi L HarrisLawrence Berkeley National Laboratory
Nomi L HarrisLawrence Berkeley National Laboratory
Arwa IbrahimEuropean Bioinformatics Institute (EMBL-EBI)
Sebastian Koehler
Nicolas Matentzoglu
Julie A McMurryUniversity of Colorado
Julie A McMurryUniversity of Colorado
Christopher J MungallLawrence Berkeley National Laboratory
Christopher J MungallLawrence Berkeley National Laboratory
Monica C Munoz-TorresUniversity of Colorado
Tim PutmanUniversity of Colorado
Peter Robinson
Damian SmedleyWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London
Elliot SollisEuropean Bioinformatics Institute (EMBL-EBI)
Anne E ThessenUniversity of Colorado
Nicole VasilevskyCritical Path Institute
Nicole VasilevskyCritical Path Institute
David O Walton
David Osumi-SutherlandEuropean Bioinformatics Institute (EMBL-EBI)
David Osumi-SutherlandEuropean Bioinformatics Institute (EMBL-EBI)
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