  Pattern analysis of tandem repeats in gene is an indispensable computational
approach to the understanding of the gene expression and pathogenesis of
diseases. This research applied a computational motif model and database
techniques to study the distribution of tandem repeats in Nlrp1 gene, which is
a critical gene to detect the invading pathogens in the immunologic mechanisms.
The frequency of tandem repeats in Nlrp1 gene was studied for mono-, di-, tri-,
and tetranucleotides. Mutations of Nlrp1 gene were analyzed to identify the
insertion,deletion, and substitution of nucleotides. The results of this
research provide a basis for future work in computational drug design and
biomedical engineering in tackling diseases associated with immune system.
