アブストラクト
| Date | 14:00-15:00 Oct 30, 2025 |
| Speaker | Ryuichiro Nakato Institute for Quantitative Biosciences, The University of Tokyo |
| Title | Data-driven analysis of multi-omics for a systematic understanding of genome regulatory mechanisms |
| Abstract | Next-generation sequencing (NGS) analyses provide genome-wide information on the epigenome (e.g., ChIP-seq), transcriptome (e.g., RNA-seq), and three-dimensional (3D) structure (e.g., Hi-C), in specific cell types or under specific conditions. Recent development of large NGS databases offers substantial amount of epigenome data, enabling us to conduct "data-driven genome analysis", which uses large amounts of data as input to extract breakthrough insights. In this talk, I will present our recent works on data-driven analyses using large-scale multi-omics data to understand the role of 3D genome structure in regulating the transcriptome and epigenome. Finally, I will discuss future directions of multi-omics analysis in the era of deep learning. |