Computational gene identification for colon cancer using Digital Gene Expression Displayer

Author

Lim, Sin-Liang ; Tee, Sim-Hui

Author_Institution

Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia

fYear

2011

fDate

5-6 Dec. 2011

Firstpage

917

Lastpage

921

Abstract

Computational method has been recognized as an indispensable tool in the interpretation of genetic data. Today, molecular biologists and bioinformaticists use software, algorithm and database extensively in handling the large amount of genetic data and protein data. A wide variety of computational tools has assisted scientists in the gene identification of cancers and other malicious diseases. Our research used Digital Gene Expression Displayer to identify the genes which contribute to colon carcinogenesis. Our results revealed several novel genes which has over expressed in the colon cancer tissue. Our findings may highlight to scientists and oncologists the candidate cancer genes for the colon cancer treatment.

Keywords

bioinformatics; cancer; diseases; genetics; patient treatment; proteins; bioinformaticists; colon cancer tissue; colon cancer treatment; colon carcinogenesis; computational gene identification; digital gene expression displayer; genetic data; genetic data interpretation; malicious diseases; molecular biologists; protein data; Bioinformatics; Cancer; Colon; Databases; Genetics; Proteins; Tumors; Bioinformatics; Digital Gene Expression Displayer; Expressed Sequence Tag; colon cancer; gene; gene ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on

Conference_Location

Penang

Print_ISBN

978-1-4673-0021-6

Type

conf

DOI

10.1109/CHUSER.2011.6163871

Filename

6163871