—The tremendous growth in the information culture, efficient digital searches are needed to extract and identify information from huge data. The notion that evolution in silicon technology for computer processing speed could handle the increasingly exponential demand for areas of knowledge processing in molecular biology. Processing powers has jumped from 2.3 MHz processors to 2.3 GHz processor. But the contemporary compute and data intensive computational biology applications have lead the issue of a suitable architecture design that mete the requirement. In the same vein the growing trend to port such applications on handheld devices has increased over the last decades. To achieve such goals, expression profile is a critical performance metric in high end genomic data processing. In such applications massive data take the form of bio sequence raw files, multi-dimensional structure images. In most cases, they contain highly irregular phylogenetic trees. A prior knowledge of software...