Genetics, genomics, and the epigenetic code of the cell

Our mission: to understand the fundamentals of epigenetic and transcriptional regulation in cellular dynamics, for early detection and treatment.

Approach

Three areas of focus

What we're working on now

A look at active projects and the data behind them. Some pieces are interactive: hover and click to explore. Updated as the work develops.

Tools we've built

Methods developed by the lab and its members, openly available to the research community.

scNMT-seq

Single-cell nucleosome, methylation and transcription sequencing

A single-cell method for parallel transcriptome, chromatin accessibility, and DNA methylation profiling: three layers of regulation from one cell.

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RIME

Rapid immunoprecipitation mass spectrometry of endogenous proteins

Allows the study of protein complexes (in particular chromatin and transcription factor complexes) in a rapid and robust manner by mass spectrometry.

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TITAN

Topic inference of transcriptionally associated networks

A topic-modeling-based machine learning approach to identify transcriptional cell states in single-cell RNA-seq datasets.

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Dig into the details.

Every method and finding above is documented in our publication record; explore the full list.

All publications