Research interests: We study how gene expression patterns are encoded in Metazoan DNA sequence, and how these patterns contribute to evolution, development, and disease. We use a variety of computational methods from statistical modeling and machine learning, in combination with molecular approaches to prepare next-generation sequencing libraries (e.g. GRO-seq, RNA-seq, etc.).
Oct 7th, 2018
Lauren Chaote wins the Bicknese prize and a poster prize at FASEB meeting on transcription, chromatin, and epigenetics!
April 15th, 2018
Jan 29th, 2018
The lab's paper on evolutionary changes in nascent transcription, now out in Nature Eco Evo.
Sept 1st, 2017
Watch Charles' talk about our ChRO-seq work at Cold Spring Harbor Transcription meeting (Sept. 2017).