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 analysis 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.

Challenges of Internet of Things and Big Data Integration

“…Those who accept the philosophy of data supply chain will go through these waves of information without dwelling in detail. Apart from the cases mentioned, the investment required in the field of sensors, analytical capabilities, and data security and support are among the other obstacles faced by the technology of the Internet of Things [9].…”

“…Those who accept the philosophy of data supply chain will go through these waves of information without dwelling in detail. Apart from the cases mentioned, the investment required in the field of sensors, analytical capabilities, and data security and support are among the other obstacles faced by the technology of the Internet of Things [9]. Hitherto, considering the existing techniques and technologies, it is probably safe to say that the best solution is to use big data tools to provide an analytical solution to the Internet of Things.…”