Title
Assessing gene-disease relationship with multifunctional genes using GO
Abstract
Multifunctional genes possess special significance due to their role in multiple biological and molecular activities in many organisms. In this paper, we study multifunctional genes in human with gene functional annotations in Gene Ontology, and we utilize the extensive information available for genes related to gene functionalities from the Molecular Function and Biological Process aspects of the Gene Ontology. Specifically, we examine the gene ontology annotations of human genes to assess the gene multifunctionality and their relationship with human diseases. We examined and analyzed all human genes having gene ontology annotations from GOA database and using the OMIM diseases. We combined all OMIM disease genes with the GO annotated human genes in relation to human diseases and the results of the relationships between highly annotated human genes and diseases are highly significant.
Year
DOI
Venue
2016
10.1109/AICCSA.2016.7945624
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)
Keywords
Field
DocType
multifunctional genes,gene ontology,gene-disease relationship
Ontology (information science),Disease,Gene,Computer science,Disease Relationship,Gene ontology,Computer network,Human genome,Computational biology,Bioinformatics,Molecular function
Conference
ISSN
ISBN
Citations 
2161-5322
978-1-5090-4321-7
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Hisham Al-Mubaid127653.50
Mohamed Shenify212.17
Sultan Aljahdali37115.26