Paper Info
Title
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions
Abstract
Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs' functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs' functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. In our previous investigations, we developed a miRNA domain-specific application ontology, Ontology for MIcroRNA Target (OMIT), to provide the community with common data elements and data exchange standards in the miRNA research. This paper describes (1) our continuing efforts in the OMIT ontology development and (2) the application of the OMIT to enable a semantic approach for knowledge capture of miRNA-target interactions.
Year
DOI
Venue
2015
10.1109/BIBM.2015.7359816
IEEE International Conference on Bioinformatics and Biomedicine
Keywords
Field
DocType
icroRNA, non-coding RNA, target gene, biomedical ontology, ontology development, data annotation, data integration, semantic search, SPARQL query
Ontology (information science),Data integration,Ontology-based data integration,Ontology,Semantic technology,Semantic search,Open Biomedical Ontologies,Computer science,Knowledge extraction,Bioinformatics
Conference
ISSN
Citations 
PageRank 
2156-1125
7
0.63
References 
Authors
8
12
Name
Order
Citations
PageRank
Jingshan Huang19423.27
Fernando Gutierrez2403.87
Dejing Dou389290.86
Judith A. Blake41314282.85
K Eilbeck518523.88
Darren A. Natale62771408.32
Barry Smith730531.93
Yu Lin810110.36
Xiao-Wei Wang959659.78
Zixing Liu10262.92
Tan Ming11263.60
Alan Ruttenberg1258950.24