The Dowell lab seeks to uncover the core principles behind transcriptional regulation. Specifically, we use a number of experimental and computational approaches to compare closely related individuals to discover the underlying mechanistic principles of transcriptional regulation. We have been using nascent sequencing (GRO-seq, PRO-seq, others) to study the response of RNA polymerase to changes in TF activity. As much of our work leverages novel data, such as precision run-on sequencing (PRO-seq), or integrates across diverse large-scale datasets (RNA-seq, ChIP-seq, ATAC-seq, 3-seq, etc), we must frequently develop new computational approaches in order to answer interesting biological questions.
keywords
Computational biology, comparative genomics, systems biology, machine learning, probabilistic modeling, data science, Down syndrome, personalized medicine
