Karchin Lab Johns Hopkins University

We develop computational methods to interpret variants in people with cancer.

Our tools are designed for high throughput analysis of large data sets.

Featured Research

New tools for exploring immunogenic neoepitopes in cancer.

Identifying neoepitopes that elicit an adaptive immune response is a major bottleneck to developing personalized cancer immunotherapy therapies. Experimental validation of candidate neoepitopes is extremely resource intensive, and the vast majority of candidates are non-immunogenic, making their identification a needle-in-a-haystack problem. To address this challenge, we developed BigMHC, a deep learning method that predicts MHC-I epitopes and identifies immunogenic neoepitopes with high precision.

BigMHC paper
BigMHC code and data

View Current Research »

Dr. Rachel Karchin

Professor, Johns Hopkins University. Institute for Computational Medicine, Department of Biomedical Engineering, Department of Oncology, Department of Computer Science.