Decoding Gene Regulation in 3D and in Single Cells

The Leslie lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. They seek to exploit diverse, high-throughput functional and genomic data to understand the molecular networks underlying fundamental cellular processes, including regulation of transcription, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Today’s talk will present recent machine learning work to exploit single-cell chromatin accessibility and multiome data to decode gene regulation and cell dynamics.