Computational approaches to dissect the multi-scale chromatin landscape and gene regulation

Gene expression is regulated by numerous biomolecules in eukaryotic chromatin, and gene regulation plays a central role in various biological processes. High-throughput sequencing-based genomic technologies, such as ChIP-seq, RNA-seq, ATAC-seq, Hi-C, and CUT&Tag, have enabled the measurement of genomic patterns of the biochemical factors and elements that influence chromatin states and gene regulation. Quantitative models and computational tools are crucial for transforming massive experimental data into scientific knowledge. In this talk, I will present several computational methods my group developed for in-depth analysis of high- throughput omics data, to better infer biologically meaningful information and better account for intrinsic biases from the complicated experimental data. These methods aim to enhance our understanding of chromatin architecture and gene regulation, and to provide empirical evidence for future biophysical modeling.