ABSTRACT

The requirement for bioinformatics is not questionable, while COVID-19 is knocking our door at this time. It is only a matter of time that with the help of bioinformatics, a better vaccine can be a relief for the whole world and everybody can get back to their regular life. So, it is so clear that bioinformatics is needed to discover better drugs and healthier lifestyles from the context. The aim of this chapter is to indicate the needs of bioinformatics. Stating with the definition of bioinformatics, this chapter offers a summary of bioinformatics and challenges, emphasizing the machine learning procedures. This chapter discusses the part of deep learning algorithms in the field of bioinformatics and biomedical systems. The role of fuzzy systems in computational biology, medicine and bioinformatics is summarized in this chapter. This chapter also summarizes the contribution of bioinformatics to fight against the COVID-19 pandemics shortly. In this proposed chapter, we have firstly described the role of fuzzy logic and artificial intelligence in the area of bioinformatics considering different sectors, medical applications and cases. Secondly, we have applied Fuzzy-Preference-driven Rough Set theory for the purpose of predicting cancer biomarkers for gene expression and biological datasets in the form of application since cancer is creating a startling cause of human death.