Genomic data has the potential to improve healthcare strategy in a variety of ways, including illness prevention, improved diagnosis, and better treatment. While Machine Learning may have revolutionized many fields, its implementation in the field of Genomics is new. Currently, Machine Learning is being applied and tested in a lot of genomic processes but all of those have not been clinically validated. Hence, we are far from providing Machine Learning or Deep Learning models for -omics data which can be implemented. This paper aims to explore in a very uncomplicated manner, what exactly is genomics, where does high performance computing and machine learning come into picture, current applications of machine learning in genomics and discuss potential future scope of machine learning in genomics.