Introduction
Recent technological developments have enabled researchers to generate experimental data in an unprecedented, genome-wide scale. Our aim is to gain biological insights through computational and statistical analysis of genomic data.
Epigenomics
We are interested in understanding chromatin structure and function in a variety of systems using high-throughput sequencing techniques. We specialize in analysis of ChIP-seq and nucleosome profiling data but also work with RNA-seq, whole-genome sequencing, and other data types. We collaborate with a number of experimental labs, both in the Harvard Medical area and around the world.
Integrative analysis of genomic data
We also engage in methodological research, developing new statistical and computational algorithms and tools for understanding next-generation sequencing data. We aim to address important problems and come up with efficient and statistically valid methods that will have practical impact on biological and clinical investigators.