Efficient algorithms for identifying orthologous simple sequence repeats of disease genes |
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Authors: | Chienming Chen Chihchia Chen Tsanhuang Shih Tunwen Pai Chinhua Hu Wenshyong Tzou |
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Institution: | (1) Dept. Biotechnology, Jaipur Engineering College & Research Centre, Jaipur, 302022, India;(2) School of Studies in Biochemistry, Jiwaji University, Gwalior, 474011, India;(3) School of Studies in Biotechnology, Jiwaji University, Gwalior, 474011, India; |
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Abstract: | Dynamic mutations of simple sequence repeats (SSRs) have been demonstrated to affect normal gene function and cause different
genetic disorders. Several conserved and even partial functional SSR patterns are discovered in inherited orthologous disease
genes. To explore a wide range of SSRs in genetic diseases, a comprehensive system focusing on identifying orthologous SSRs
of disease genes through a comparative genomics mechanism is constructed and accomplished by adopting online Mendelian inheritance
in man (OMIM) and NCBI HomoloGene databases as the fundamental resources of human genetic diseases and homologous gene information.
In addition, an efficient and effective algorithm for searching SSR patterns is also developed for providing annotated SSR
information among various model species. By integrating these data resources and mining technologies, biologists and doctors
can systematically retrieve novel and important conserved SSR information among orthologous disease genes. The proposed system,
Orthologous SSR for Disease Genes (OSDG), is the first comprehensive framework for identifying orthologous SSRs as potential
causative factors of genetic disorders and is freely available at . |
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