We study gene regulation and cellular behavior by developing statistical and experimental methods. Our primary goal is to develop new technologies to map molecular networks, including RNA-RNA interactome [Nat Comm, 2016], RNA-chromatin interactome [Curr Biol, 2017][PNAS, 2019], and protein-protein interactome. Our secondary quest is to model the variations of these networks in three axes, namely developmental time, personal difference, and evolutionary change. Our major tools include epigenomic and single-cell assays, single-molecule imaging, statistical modeling, and large scale computation.
Mapping RNA-RNA interactions in vivo.
Finding any RNA attached to any place on the genome.
Single molecules RNA FISH.
Single cell analysis of cell fate.
Online search for epigenomic and transcriptomic big data.
We welcome applictions for postdoc, lab manager, software engineer, and graduate student.
Powell-Focht Bioengineering Hall 371, University of California San Diego, 9500 Gilman Drive, MC 0412, La Jolla, CA 92093-0412
Lab Phone: (858) 822-5649