The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.

Journal: Journal of biomedical semantics
Published Date:

Abstract

In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. The NCRO ontology is free and open to all users, accessible at: http://purl.obolibrary.org/obo/ncro.owl.

Authors

  • Jingshan Huang
    School of Computing, College of Medicine, University of South Alabama, Mobile, AL, USA.
  • Karen Eilbeck
    Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, 84112-5775 USA.
  • Barry Smith
    Department of Philosophy, University at Buffalo, NY, USA.
  • Judith A Blake
    The Jackson Laboratory, Bar Harbor, ME, 04609, USA.
  • Dejing Dou
    Computer and Information Science Department, University of Oregon, Eugene, Oregon, 97403-1202 USA.
  • Weili Huang
    Miracle Query, Inc., Eugene, Oregon, 97403-1202 USA.
  • Darren A Natale
    Protein Information Resource, Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, D. C., United States of America.
  • Alan Ruttenberg
    School of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States of America.
  • Jun Huan
    Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, 66047-7621 Kansas USA.
  • Michael T Zimmermann
    Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, 55905-0001 Minnesota USA.
  • Guoqian Jiang
    Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Yu Lin
    Research School of Computer Science, Australian National University, Canberra, 2601, ACT, Australia.
  • Bin Wu
    Department of Psychiatry, Xi'an Mental Health Center, Xi'an, China.
  • Harrison J Strachan
    School of Computing, University of South Alabama, Mobile, Alabama, 36688-0002 USA.
  • 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.
  • Shaojie Zhang
    Department of Computer Science, University of Central Florida, Orlando, 32816-2362 Florida USA.
  • Xiaowei Wang
    Beijing Centers for Preventive Medical Research, Beijing 100013, China.
  • Zixing Liu
    Mitchell Cancer Institute, University of South Alabama, Mobile, Alabama, 36604-1405 USA.
  • Glen M Borchert
    Department of Biology, University of South Alabama, Mobile, Alabama, 36688-0002 USA.
  • Ming Tan
    Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan.