A review on evolution of data mining techniques for protein sequence causing genetic disorder diseases

Data mining is successfully visible in fields like marketing, finance, retail and various other sectors. The biological science contains rich information but poor knowledge. There are more number of information available within the biological science. Biological data includes protein sequence, function, pathways, nucleic acid and genetic interaction. Bioinformatics is a branch of study which deals with storage, retrieval, analysis of the Biological data. However, there is a lacking in availability of analysis tools which discover relationships that are hidden and trends in data. Purpose of this paper is to reveal the mechanisms by which mutations of proteins in our bodies is also the main cause of genetic disorder. This research paper intends to provide a review of the evolution of current data mining techniques in biological databases that are in use today.