Genomics of gene regulation: we seek to achieve a global understanding of the genomic basis of gene regulation, particularly over time and in development, using functional genomics and machine learning. We have a long standing interest in identification of cis-regulatory modules, particularly long-range enhancers. More recently, we have been focusing on understanding the determinants of 3D genome organization and its role in gene regulation.
Data intensive science: We work to increase access to compute and data intensive methods for the scientific research community, particularly in genomics. We are part of the team that develops Galaxy, a framework for making large scale computational analysis more accessible and reproducible. In the context of Galaxy we have research interests in data visualization and analytics, cloud and high-performance computing, transparent and reproducible scientific publication. We are particularly concerned with improving the reproducibility of published scientific results that depend on complex methods.
News and Events
Boris contributed to a new paper from the Johnston Lab on cone subtype specification in human retinal organoids
New work from Gherman on the MetaWRAP metagenome assembly and annotation pipeline, blog post at Nature Microbiology
James, Enis, Dannon, Sam, Dave, and the rest of the Galaxy team were at GCC/BOSC 24-30 June, 2018
James was at the Rocky Mountain Genomics HackCon 18-23 June, 2018