Using Deep Learning Techniques To Enhance Orthology Calls

Homology refers to the shared ancestry between a pair of structures, organisms or genes, in different taxa. Currently, homology types are decided on the basis of phylogenetic trees. They are later checked, for quality-control measures, by a whole genome-alignment score. The aim of this project is to use the methods of Deep Learning to predict the homology calls and check the homologies predicted by the above methods.