Sadhana Tripathi

The paper introduces kGain, a metric quantifying k-mer frequency shifts due to mutations, and shows it predicts adaptive potential across species and experimental systems.

The paper re-analyzes transcriptomic and proteomic data from a diabetes model to identify a novel biomarker associated with immune dysfunction and delayed wound healing.

SurfacOmics is an R shiny application that identifies gene biomarkers using Elastic-Net Regularization and integrates biological knowledge for interpretation.

The paper develops a hybrid model for predicting both linear and conformational B-cell epitopes using machine learning and BLAST, achieving an AUC of 0.83 on an independent dataset.

Strainflow predicts SARS-CoV-2 variant surges using genomic data, accurately forecasting Delta and Omicron surges and India's surge two months in advance.