AI in Bioinformatics and Genomics

Artificial intelligence (AI) has revolutionized various fields, including bioinformatics and genomics, by offering powerful tools and techniques to analyse and interpret complex biological data. This research paper explores the significant role of AI in bioinformatics and genomics, highlighting its applications, advancements, challenges, and future directions. Through a comprehensive review of relevant literature, case studies, and examples, and aims the power of AI transformation to provide insights on the study of biological systems, accelerating advancements in personalized medicine and biotechnology and enhancing our understanding of genomics. These areas have risen from the needs of biologists to utilize and help interpret the vast amounts of data that are constantly being gathered in genomic research. Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology has become common for the researchers to apply the off-shelf systems with the availability of different types of AI algorithms. At present researchers are facing difficulties in choosing the best method that could be applied to a specific data set, with various intelligent methods available in the literature. The researchers need to apply machine learning and AI with different tools and techniques which present the data in an annotated with context, estimates of accuracy, proper predictions and explanation. comprehensible fashion. This article aims to review the use of AI in the areas of bioinformatics and computational molecular biology (DNA sequencing). The AI in functional genomics, and its application in this paper defines the importance of applicability and interpretability including ethical, legal and economic issues.