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International Journal of Computational Bioinformatics and In Silico Modeling
2013: Volume-2 Issue-4
ISSN: 2320-0634

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ABSTRACT   REFERENCES  
International Journal of Computational Bioinformatics and In Silico Modeling 2(4) 2013: 147-151

Identification and in silico observation of potential biomarkers in breast cancer region using bioinformatics approaches


Jyotsana Pandey1*, Alka Dwivedi1, Vijay Laxmi Saxena2 and Bipin Kumar Tripathi3

1 Department of Computer Science, Singhania University, Rajasthan-335515.
2 National Bioinformatics Infrastructure Facility Centre of (DBT) Ministry of Science and Technology (Govt. of India), D.G (PG) College civil lines Kanpur.
3 Department Of Computer Science, HBTI, Kanpur-208002.

* Corresponding Author

ABSTRACT

Identification of in silico observation and development of high through put technologies are easier to predict cancer in early stages. So there is a need to establish biomarkers for prediction and detection of breast cancer at first stage. A biomarker is an indicator of a biological state in this project. In bioinformatics it can be used to study cancers to identify novel gene/protein which can be used as biomarker. Bioinformatics approaches can be used in effective identification of biomarkers. In this study a combined advance approach using gene expression analysis and bioinformatics were implemented to identify a novel biomarker for breast cancer. In this study we predicted gene ADIPOQ, associated with breast fibroepithelial neoplasia, CD36 and GHR associated with precancerous condition intraepithelial neoplasia. ADIPOQ and PTPN are associated with Myelodysplastic syndrome. All these marker genes can be used in prognosis of specific conditions of cancer.


Copyright © 2013 | AIZEON publishers | All rights reserved

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Citation: Jyotsana Pandey et al. (2013). Identification and in silico observation of potential biomarkers in breast cancer region using bioinformatics approaches. Int J Comput Bioinfo In Silico Model 2(4): 147-151

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