Title :
Gene Ontology Rewritten for Computing Gene Functional Similarity
Author :
Visconti, Alessia ; Cordero, Francesca ; Botta, Marco ; Calogero, Raffaele A.
Author_Institution :
Dept. of Comput. Sci., Univ. of Torino, Torino, Italy
Abstract :
Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help researcher to easily identify the genes belonging to the same network module without the need of additional data.
Keywords :
biology computing; genetics; ontologies (artificial intelligence); biological organisation; biological regulated GO; gene computing; gene ontology; informative ontology; network module; Biology computing; Cells (biology); Competitive intelligence; Computer networks; Computer science; Databases; Intelligent networks; Ontologies; Software systems; Vocabulary; functional similarity measure; gene ontology; module network;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-1-4244-5917-9
DOI :
10.1109/CISIS.2010.30