alexa Co-occurrence: A Gene Reference Resource for Coincident
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Co-occurrence: A Gene Reference Resource for Coincidental Patterns of Gene Mutations in Human Cancers

Isar Nassiri, Esmaeel Azadian, Roozbeh Sharafi and Ali Masoudi-Nejad*

Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran

*Corresponding Author:
Ali Masoudi-Nejad
Laboratory of Systems Biology and Bioinformatics (LBB)
Institute of Biochemistry and Biophysics
University of Tehran, Tehran, Iran
Tel: +98-21-6695-9256
Fax: +98-21-6640-4680
E-mail: [email protected]

Received date: July 24, 2013; Accepted date: September 24, 2013; Published date: September 27, 2013

Citation: Nassiri I, Azadian E, Sharafi R, Masoudi-Nejad A (2013) Co-occurrence: A Gene Reference Resource for Coincidental Patterns of Gene Mutations in Human Cancers. J Proteomics Bioinform 6:197-201. doi:10.4172/jpb.1000281

Copyright: © 2013 Nassiri I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

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 cancer genes, it is also applicable for physicians and genetic counselors. The database is freely available from https://lbb.ut.ac.ir/project/Co-Occurrence/home.php

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