Phenotype annotation with the ontology of microbial phenotypes (OMP).

Journal: Journal of biomedical semantics
Published Date: Jul 15, 2019

Abstract

BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond microbes. The Ontology of Microbial Phenotypes (OMP) was created to support such annotation.

Authors

  • Deborah A Siegele
    Department of Biology, Texas A&M University, College Station, TX, 77843, USA.
  • Sandra A LaBonte
    Department of Biochemistry and Biophysics, Texas A&M University and Texas AgriLife Research, College Station, TX, USA.
  • Peter I-Fan Wu
    Department of Biochemistry and Biophysics, Texas A&M University and Texas AgriLife Research, College Station, TX, USA.
  • Marcus C Chibucos
    Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland, Department of Microbiology and Immunology and Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore MD, USA, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, 1211 Geneva, Switzerland, Department of Medicine and Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore MD, USA, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA, School of Information, University of South Florida, Tampa, FL, 33647, USA, Genomics Division, Lawrence Berkeley National Lab, 1 Cyclotron Rd., Berkeley, 94720 CA USA, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK, Swiss-Prot Group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, Geneva, Switzerland, ETH Zurich, Department of Computer Science, Universitätstr. 19, 8092 Zürich, Switzerland, SIB Swiss Institute of Bioinformatics, Universitätstr. 6, 8092 Zürich, Switzerland and University College London, Gower St, London WC1E 6BT, UK.
  • Suvarna Nandendla
    Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Michelle G Giglio
    Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
  • James C Hu
    Department of Biochemistry and Biophysics, Texas A&M University and Texas AgriLife Research, College Station, TX, 77843, USA.

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