Title :
An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database
Author :
Wang, James Z. ; Du, Zhidian ; Yu, Philip S. ; Chen, Chin-Fu
Author_Institution :
Clemson Univ., Clemson
Abstract :
Gene ontology (GO) is a large public database which not only provides a set of controlled biological and biochemical vocabularies (terms) to describe gene products based upon their functions in the cell, but also contains gene annotation data from heterogeneous data sources. In this paper, using a new method to measure the semantic similarity of GO terms, an efficient algorithm is proposed to find genes that have similar biological functions with a given gene. An online tool is then implemented to search the top N genes having similar biological functions with a particular gene within the same or cross different species. Furthermore, various performance enhancement techniques are utilized to reduce the user query response time of the online tool. This tool is available at: http://bioinformatics.cletnson.edu/G-SESAME/Programs/geneTopl.php.
Keywords :
biochemistry; biology computing; cellular biophysics; genetics; molecular biophysics; ontologies (artificial intelligence); biochemical vocabularies; biological vocabularies; cell functions; gene annotation; gene ontology database; online tool; semantic similarity; top-N genes; user query response; Bioinformatics; Biological control systems; Biomedical measurements; Cells (biology); Data visualization; Databases; Information analysis; Ontologies; USA Councils; Vocabulary;
Conference_Titel :
Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3031-4
DOI :
10.1109/BIBM.2007.34