Featured Research

New tools for exploring rare cancer driver mutations.

Large-scale cancer sequencing studies of patient cohorts have statistically implicated many cancer driver genes, with a long-tail of infrequently mutated genes. Our group has developed CHASMplus, a computational method to predict driver missense mutations, which is uniquely powered to identify rare driver mutations within the long-tail. CHASMplus substantially outperforms comparable methods across a wide variety of benchmark sets.

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Dr. Rachel Karchin

Professor, The William R. Brody Faculty Scholar, Johns Hopkins University. Institute for Computational Medicine, Department of Biomedical Engineering, Department of Oncology, Department of Computer Science.

About the Karchin Lab

We develop computational models to interpret and predict the impact of individual variation in the genome, transcriptome, and proteome. The models are being applied to cancer genomics, unclassified variants in Mendelian disease genes, and complex disease genetics. In collaboration with clinicians, pathologists, and experimental biologists, we aim to make significant improvements in individualized medicine within the next five years.

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Featured Software Tool Tutorial

Selected Publications

Guthrie VB et al. (2018) Molecular Biology and Evolution. 35(6):1507-1519 Article

Douville C et al. (2018) Proc Natl Acad Sci U S A 115(8):1871-1876. Article

Newest Publication

Kuboki Y, Fischer CG, Guthrie VB et al.Article

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Latest Lab News

Autumn 2018/Winter 2019

KarchinLab is recruiting new Ph.D students. If you are interested, please read the application instructions

Hear Dr. Karchin talk about CHASMplus at the Integrative Omics meeting in Santa Fe, New Mexico

Single-cell mutation profiles support extensive early driver heterogeneity in human pancreatic neoplasms. Read about our joint work with the lab of pathologist Dr. Laura Wood at Hopkins Medicine.

OpenCRAVAT beta released! Modular, open tools for Custom Ranked Analysis of VAriants Toolkit.

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