DocumentCode :
3714515
Title :
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions
Author :
Jingshan Huang;Fernando Gutierrez;Dejing Dou;Judith A. Blake;Karen Eilbeck;Darren A. Natale;Barry Smith; Yu Lin;Xiaowei Wang;Zixing Liu;Ming Tan;Alan Ruttenberg
Author_Institution :
School of Computing, University of South Alabama, Mobile, 36688, U.S.A.
fYear :
2015
Firstpage :
975
Lastpage :
982
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.
Keywords :
"RNA","Standards","Genomics","Bioinformatics","Cancer","Bones"
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/BIBM.2015.7359816
Filename :
7359816
Link To Document :
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