Skip to Main Content

Paper Details

Improving Interpretation of Cardiac Phenotypes and Enhancing Discovery With Expanded Knowledge in the Gene Ontology.
Circ Genom Precis Med
14
2018
Gene, arrhythmic disease, candidate genes, cardiac defects, cardiac muscle cell, genes, heart-specific genes, sinoatrial node, transcriptomic
Author NameAffiliation
Ruth C LoveringFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Paola RoncagliaFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Douglas G HoweFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Stanley J F LaulederkindFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Stanley J F LaulederkindFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Varsha K KhodiyarFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Tanya Z BerardiniFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Susan TweedieFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Susan TweedieFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Rebecca E FoulgerFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
David Osumi-SutherlandFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
David Osumi-SutherlandFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Rachael P HuntleyFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Philippa J TalmudFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Judith A BlakeFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
Judith A BlakeFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
David P HillFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
David P HillFrom the Institute of Cardiovascular Science (R.C.L., University College London, United Kingdom European Bioinformatics Institute (EMBL-EBI), University of Oregon, Medical College of Wisconsin, University of Cambridge, University of Oxford, Barts and The London School of Medicine and Dentistry, Queen Mary University of London
  • 1 - 18

Datasets

Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink
Gene OntologyGene Ontology DatabaseLink