Susceptibility Gene Prediction in Hereditary Disease Retinoblastoma

Nowadays Bioinformatics, proteomics and Genomics are the most intriguing sciences to understand the human genome and diseases. Several hereditary genetic diseases like Retinoblastoma involve a sequence of complex interactions between multiple biological processes. With this paper, genetic similarities were found within a selected group of patient’s DNA sequences through the use of signal processing tools. DNA, RNA and protein sequences have similarities in structure and function of the gene with their location. In this paper, we introduce a novel method using scoring matrix and wavelet windowing, for the integrative gene prediction. The proposed methods not only integrate multiple genomic data but can be used to predict gene location, gene mutation and genetic disorder from the multi-block genomic data. The performance was assessed by simulation.