DOI : https://doi.org/10.18517/ijaseit.2.5.229

Computational Analysis of PTEN Gene Mutation

Siew-Kien Mah (1), Sim-Hui Tee (2)
(1) Faculty of Engineering, Multimedia University, Malaysia
(2) Faculty of Creative Multimedia, Multimedia University, Malaysia
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How to cite (IJASEIT) :
Mah, Siew-Kien, and Sim-Hui Tee. “Computational Analysis of PTEN Gene Mutation”. International Journal on Advanced Science, Engineering and Information Technology, vol. 2, no. 5, Oct. 2012, pp. 383-6, doi:10.18517/ijaseit.2.5.229.
Citation Format :
Post-genomic data can be efficiently analyzed using computational tools. It has the advantage over the biochemical and biophysical methods in term of higher coverage. In this research, we adopted a computational analysis on PTEN gene mutation.  Mutation in PTEN is responsible for many human diseases. The results of this research provide insights into the protein domains of PTEN and the distribution of mutation.

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