OHMI: the ontology of host-microbiome interactions.

Journal: Journal of biomedical semantics
Published Date: Dec 30, 2019

Abstract

BACKGROUND: Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases. Extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery.

Authors

  • Yongqun He
    University of Michigan Medical School, Ann Arbor, MI 48109 USA ; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Dr., Ann Arbor, MI 48109 USA.
  • Haihe Wang
    University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
  • Jie Zheng
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Daniel P Beiting
    University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19104, USA.
  • Anna Maria Masci
    Department of Immunology, Duke University, Durham, North Carolina, United States of America.
  • Hong Yu
    University of Massachusetts Medical School, Worcester, MA.
  • Kaiyong Liu
    School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
  • Jianmin Wu
    Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
  • Jeffrey L Curtis
    University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
  • Barry Smith
    Department of Philosophy, University at Buffalo, NY, USA.
  • Alexander V Alekseyenko
    Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA.
  • Jihad S Obeid
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.

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