Horizontal gene transfer (HGT) takes place when two organisms share their genetic material. Contrary to the ancestral transfer of genes, viz. Vertical gene transfer, the HGT, is very commonly found in many species of bacteria even if there is distantly related evidence which is phylogenies, sequence comparison, and genome characteristics. In this work, we use an Artificial Intelligence/Machine Learning (AI/ML) model which is based on unsupervised learning on the human fungal pathogenesis dataset. The AI/ML model discovers distinctive classification/annotation features which are able to predict a correlation between pathogenesis and horizontal transfer events with unknown queries. Horigene will be soon available
PIs: Prashanth N Suravajhala and VS Sundararajan
Contributors: Gautam Dhandh, Girik Malik, Akshay Zawar
