Paper Info
Title
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.
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.
Year
DOI
Venue
2016
10.1186/s13326-016-0066-0
J. Biomedical Semantics
Keywords
Field
DocType
Biomedical ontology,Data annotation,Domain ontology,Non-coding RNA,Ontology development,Reference ontology
Ontology (information science),Data science,Ontology,Ontology-based data integration,Data mining,World Wide Web,Biological Ontologies,Process ontology,Open Biomedical Ontologies,Computer science,Controlled vocabulary,Upper ontology
Journal
Volume
Issue
ISSN
7
1
2041-1480
Citations 
PageRank 
References 
5
0.50
6
Authors
20
Name
Order
Citations
PageRank
Jingshan Huang19423.27
K Eilbeck218523.88
Barry Smith330531.93
Judith A. Blake41314282.85
Dejing Dou589290.86
Weili Huang650.50
Darren A. Natale72771408.32
Alan Ruttenberg858950.24
Jun Huan9121181.09
Michael T. Zimmermann10233.67
Guoqian Jiang1121050.15
Yu Lin1210110.36
Bin Wu13193.64
Harrison J. Strachan14181.88
Yongqun He1546051.12
Shaojie Zhang1620328.81
Xiao-Wei Wang1759659.78
Zixing Liu18262.92
Glen M. Borchert19268.17
Tan Ming20263.60