In Silico Analysis of Oncogenes for Renal Cancer

Sim-Hui Tee (1), Siew-Kien Mah (2)
(1) Faculty of Creative Multimedia, Multimedia University, Malaysia
(2) Faculty of Engineering, Multimedia University, Malaysia
Fulltext View | Download
How to cite (IJASEIT) :
Tee, Sim-Hui, and Siew-Kien Mah. “In Silico Analysis of Oncogenes for Renal Cancer”. International Journal on Advanced Science, Engineering and Information Technology, vol. 2, no. 5, Oct. 2012, pp. 379-82, doi:10.18517/ijaseit.2.5.228.
Computational tools and methods play a vital role in handling and analyzing a large volume of genomic data. In cancer research, in silico methods such as computational algorithm and protein databases are indispensable. In this paper, we adopted an in silico approach to analyze oncogenes that cause  renal cancer. Our objective is to identify and analyze the genes which are over expressed in the renal cancer tissues. The identification of oncogenes for renal cancer could provide directions and insights for molecular cancer treatment.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).