We are a bioinformatics lab developing computation technology to model how cell identity is established during differentiation. We develop bioinformatics methods to understand genetic, epigenetic, and molecular signaling mechanisms in cell identity...
Our lab develops and applies computational methods in an emerging space we call “translational epigenomics”. This space encompasses efforts to advance precision oncology by deeply characterizing cancer epigenomes. By examining epigenetic changes in...
I am a computational biologist studying the role of chromatin structure/dynamics and non-coding regions including enhancers, promoters, insulators and their role in gene regulation. The mission of my lab is the integration of omics data to explore and...
There are clear resemblances between parents and children for height, weight, and many other traits and diseases; these familial resemblances are influenced strongly by inherited genetic factors. Most common diseases (such as diabetes, obesity, or asthma...
We aim to understand how transcription factors (TFs) ensure adequate and timely gene expression in human development. To do this, we combine chemical genetic tools to quantitatively manipulate TF function, sequence-to-activity deep learning approaches...
The Xia lab seeks to address one of biology’s central questions: how does the human genome control the identity and function of thousands of cell types, and what goes wrong with the cells in conditions like aging and cancer? In our lab, we combine state...
