Design and Development of Smart Analytical Techniques for Biological Sequences

Abstract

A biological sequence is a single, continuous molecule of nucleic acid. Biological sequence study examines, aligns, correlates, and evaluates biological sequences, making it relevant in bioinformatics and modern genetics. A significant number of whole-genome sequences are being created due to the emergence of genome sequencing initiatives, and it has therefore become necessary to implement advanced algorithms that can retrieve both the overt and implicit nature of these biological sequences. There are various challenges related to biological sequences such as representation, storage, and analysis. Which includes sequence assembly, sequencing, alignment, protein prediction and classification techniques. It is complicated to address biological issues efficiently, and there is a broad area of opportunity. The proposed study involves the usage of advanced techniques, which includes deep learning techniques newline