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.).
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).
Aug 20th, 2017
Congradulations to Tinyi Chu and Paul Munn for passing their A-(qualifying) exams!
July 27th, 2016