Advanced Technologies for 3D Genome Research 


Suzhou, China 

July 19 - 26, 2026

Application Deadline: May 21, 2026



Organized by:


Minji Kim, University of Michigan

Yijun Ruan, Zhejiang University

Fuchou Tang, Peking University



COURSE DESCRIPTION


See the roll of honor - who's taken the course in the past


This program offers a deep dive into the latest advancements in single-cell 3D genomics, tailored for graduate students, postdoctoral fellows, and early-career scientists worldwide. It is designed for participants with training in biology, molecular biology, bioinformatics, genetics, and related disciplines. The curriculum centers on tutorial-style instruction covering the principles and workflows of single-cell 3D genome profiling, complemented by oral teaching and curated video clips that walk through key experimental steps and practical considerations.


In parallel, the program features a dry-lab workshop that guides participants through core analytical skills, including data processing, quality control, visualization, and integrative interpretation of single-cell 3D genomics datasets. Expert-led lectures and discussions are integrated throughout the week to provide a coherent conceptual framework and up-to-date perspectives in the field.



2026 FACULTY ROSTER


Wu Albert Cheng, Chinese Academy of Sciences

Haoxi Chai, Zhejiang University

Junjun Ding, Sun Yat-sen University

Lan Jiang, China National Center for Bioinformation

Minji Kim, University of Michigan

Guangdun Peng, Chinese Academy of Sciences

Yijun Ruan, Zhejiang University

Fuchou Tang, Peking University

Haifeng Wang, Tsinghua University

Jia Wang, Guangzhou Medical University

Xiaotao Wang, Fudan University  



2026 PRICING (INCLUDING TUITION, BOARD AND LODGING): 900 USD


No payment is due until the selection decisions are made, but any applicant requiring financial support (i.e. stipends) should make that request in written form during the online application. The admissions process is need-blind, your financial situation will not be considered before admission decisions are made.