机构：[1]School of Computing, University of South Alabama, Mobile, Alabama36688-0002, USA[2]Department of Biomedical Informatics, University of Utah,Salt Lake City, Utah 84112-5775, USA[3]Department of Philosophy, University atBuffalo, Buffalo, New York 14260-4150, USA[4]Genome Informatics, TheJackson Laboratory, Bar Harbor, Maine 04609-1523, USA[5]Computer andInformation Science Department, University of Oregon, Eugene, Oregon97403-1202, USA[6]Miracle Query, Inc., Eugene, Oregon 97403-1202, USA[7]Department of Biochemistry and Molecular & Cellular Biology, GeorgetownUniversity Medical Center, Washington D.C. 20007-1485, USA[8]School ofDental Medicine, University at Buffalo, Buffalo, New York 14214-8006, USA[9]Department of Electrical Engineering and Computer Science, University ofKansas, Lawrence, Kansas 66047-7621, USA[10]Health Sciences Research,Division of Biomedical Statistics and Informatics, Mayo Clinic College ofMedicine, Rochester, Minnesota 55905-0001, USA[11]Center for Computational Science, University of Miami, Miami, Florida 33146-2960, USA[12]Department ofMicrobiology & Immunology, First Affiliated Hospital, Kunming MedicalUniversity, Kunming, Yunnan 650032, China[13]Department of Microbiology &Immunology, University of Michigan Medical School, Ann Arbor, Michigan48109-5624, USA[14]Department of Computer Science, University of CentralFlorida, Orlando, Florida 32816-2362, USA[15]Department of RadiationOncology, Washington University School of Medicine, St. Louis, Missouri63110-0001, USA[16]Mitchell Cancer Institute, University of South Alabama,Mobile, Alabama 36604-1405, USA[17]Department of Biology, University ofSouth Alabama, Mobile, Alabama 36688-0002, USA.
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.
基金：
National Cancer Institute (NCI) at the National Institutes of Health (NIH)United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [U01CA180982]; Natural Science Foundation (NSF) - Division of Molecular and Cellular Biosciences [1350064]; NSF EPSCoR program; Abraham A. Mitchell Cancer Research Fund
第一作者机构：[1]School of Computing, University of South Alabama, Mobile, Alabama36688-0002, USA
通讯作者：
推荐引用方式(GB/T 7714)：
Huang Jingshan,Eilbeck Karen,Smith Barry,et al.The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology[J].JOURNAL OF BIOMEDICAL SEMANTICS.2016,7:doi:10.1186/s13326-016-0066-0.
APA：
Huang, Jingshan,Eilbeck, Karen,Smith, Barry,Blake, Judith A.,Dou, Dejing...&Tan, Ming.(2016).The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.JOURNAL OF BIOMEDICAL SEMANTICS,7,
MLA：
Huang, Jingshan,et al."The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology".JOURNAL OF BIOMEDICAL SEMANTICS 7.(2016)
