Evaluation of IoT-based computational intelligence tools for DNA sequence analysis in bioinformatics

Abstract

In contemporary age, computational intelligence (CI) performs an essential role in the interpretation of big biological data considering that it could provide all of the molecular biology and DNA sequencing computations. For this purpose, many researchers have attempted to implement different tools in this field and have competed aggressively. Hence, determining the best of them among the enormous number of available tools is not an easy task, selecting the one which accomplishes big data in the concise time and with no error can significantly improve the scientist’s contribution in the bioinformatics field. This study uses different analyses and methods such as fuzzy, Dempster–Shafer, Murphy, and entropy Shannon to provide the most significant and reliable evaluation of IoT-based computational intelligence tools for DNA sequence analysis. The outcomes of this study can be advantageous to the bioinformatics community, researchers, and experts in big biological data.