KG-Hub-building and exchanging biological knowledge graphs.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of KGs is lacking.

Authors

  • J Harry Caufield
    Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
  • Tim Putman
    Anschutz Medical Campus, University of Colorado, Aurora, CO, 80045, USA.
  • Kevin Schaper
    Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, United States.
  • Deepak R Unni
    SIB Swiss Institute of Bioinformatics, Basel 1015, Switzerland.
  • Harshad Hegde
  • Tiffany J Callahan
    Computational Bioscience Program and Department of Pharmacology, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado 80045, USA.
  • Luca Cappelletti
    Department of Computer Science "Giovanni degli Antoni,"Università degli Studi di Milano 20133 Milan Italy.
  • Sierra A T Moxon
    Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
  • Vida Ravanmehr
    Department of Lymphoma-Myeloma, MD Anderson Cancer Center, Houston, TX 77030, United States.
  • Seth Carbon
    Berkeley Bioinformatics Open-Source Projects, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, One Cyclotron Rd. MS 977, Berkeley, CA, 94720, USA.
  • Lauren E Chan
    Oregon State University, Corvallis, OR, 97331, USA. chanl@oregonstate.edu.
  • Katherina Cortes
    Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, United States.
  • Kent A Shefchek
    Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, United States.
  • Glass Elsarboukh
    Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, United States.
  • Jim Balhoff
    Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC 27517, United States.
  • Tommaso Fontana
    Dipartimento di ElettronicaInformazione e BioingegneriaPolitecnico di Milano 20133 Milan Italy.
  • Nicolas Matentzoglu
    School of Computer Science, University of Manchester, Oxford Road, Manchester, UK. nicolas.matentzoglu@manchester.ac.uk.
  • Richard M Bruskiewich
    STAR Informatics, Delphinai Corporation, Sooke, BC V9Z 0M3, Canada.
  • Anne E Thessen
    Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, United States of America.
  • Nomi L Harris
    Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, California, USA.
  • Monica C Munoz-Torres
    Monarch Initiative.
  • Melissa A Haendel
    Library, Oregon Health & Science University, Portland, OR 97239, USA.
  • Peter N Robinson
    The Jackson Laboratory for Genomic Medicine Farmington CT 06032 USA.
  • Marcin P Joachimiak
    Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, California, USA.
  • Christopher J Mungall
    Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Justin T Reese
    Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.