Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Ali Masoudi-Nejad
Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics,
Tehran
West Indies
Research Article
Co-occurrence: A Gene Reference Resource for Coincidental Patterns of Gene Mutations in Human Cancers
Author(s): Isar Nassiri, Esmaeel Azadian, Roozbeh Sharafi and Ali Masoudi-NejadIsar Nassiri, Esmaeel Azadian, Roozbeh Sharafi and Ali Masoudi-Nejad
Cancer is a complex process in which the abnormalities of many genes appear to be involved. The synchronized patterns of gene mutations may reveal the functional relations between genes and pathways in tumor-genesis as well as identify targets for treatment. Co-occurrence database represents a comprehensive core collection of data on published coincidental mutations in nuclear genes underlying human cancers. By August 2013, the database contained 126 different coincidental lesions in 43 different genes in 25 different types of human cancers, and 8 cellular signaling pathways. In next step, this model for knowledge representation about coincidental mutations in human cancers can be extended to other synchronized patterns of genes alterations in human diseases. Although, co-occurrence database originally established for the scientific study of coincidental mutational mechanisms in human.. View More»
DOI:
10.4172/jpb.1000281