Computational Analysis of PTEN Gene Mutation

Siew-Kien Mah, Sim-Hui Tee

Abstract


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.

Keywords


Gene mutation, PTEN, genomic data

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DOI: http://dx.doi.org/10.18517/ijaseit.2.5.229

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Published by INSIGHT - Indonesian Society for Knowledge and Human Development