Sneha Mitra

The paper identifies two distinct regulatory T cell subsets in colorectal cancer with opposing roles in tumor growth and prognosis.

This study identifies an epigenetically distinct HSC subset, Kitlo, that supports better thymic and T-cell reconstitution in mice and humans.

SCARlink predicts gene expression from chromatin accessibility in single-cell multiome data, identifies enhancers, and enables chromatin potential analysis for developmental trajectories.

RoboCOP computes chromatin occupancy profiles for multiple factors from epigenomic data, showing improved accuracy over existing methods for yeast nucleosomes and 150 TFs.

The paper develops predictive models linking chromatin dynamics and transcription by analyzing chromatin and RNA data in yeast under cadmium stress.

The paper introduces a method to decompose high-throughput ChIP data into distinct binding components without prior motif knowledge, revealing insights into chromatin complexes and their regulatory roles.