Zang, Chongzhi, Ph.D.

Assistant Professor
Center for Public Health Genomics
P. O. Box 800717
Charlottesville, VA 22908-0717
Phone: 1-434-243-5397
Fax: 1-434-982-1815
Email: zang@virginia.edu
Health System West Complex, Room 6131C

Lab website: faculty.virginia.edu/zanglab

Education and Training

  • B.S., Physics, Peking University, 2005
  • Ph.D., Physics, The George Washington University, 2010
  • Postdoc, Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard University, 2010–2016

Other Appointments

  • Assistant Professor of Biomedical Engineering
  • Assistant Professor of Biochemistry and Molecular Genetics

Research Interests

Computational biology; Bioinformatics methodology development; Epigenetics and chromatin biology; Transcriptional regulation; Cancer genomics and epigenomics; Statistical methods for biomedical data integration; Theoretical and computational biophysics

Recent Publications

* indicates authors with equal contributions.

  1. Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions
    André L. Martins, Ninad M. Walavalkar, Warren D. Anderson, Chongzhi Zang, Michael J. Guertin
    Nucleic Acids Research, gkx1053 (2017)
  2. Cistrome Cancer: a web resource for integrative gene regulation modeling in cancer
    Shenglin Mei, Clifford A. Meyer, Rongbin Zheng, Qian Qin, Qiu Wu, Peng Jiang, Bo Li, Xiaohui Shi, Binbin Wang, Jingyu Fan, Celina Shih, Myles Brown, Chongzhi Zang§(co-corresponding author), X. Shirley Liu§
    Cancer Research 77, e19–e22 (2017)
  3. Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profiles
    Su Wang*, Chongzhi Zang*, Tengfei Xiao, Jingyu Fan, Shenglin Mei, Qian Qin, Qiu Wu, Xujuan Li, Kexin Xu, Housheng Hansen He, Myles Brown, Clifford A. Meyer, X. Shirley Liu
    Genome Research 26, 1417–1429 (2016)
  4. High-dimensional genomic data bias correction and data integration using MANCIE
    Chongzhi Zang*, Tao Wang*, Ke Deng, Bo Li, Sheng’en Hu, Qian Qin, Tengfei Xiao, Shihua Zhang, Clifford A. Meyer, Housheng Hansen He, Myles Brown, Jun S. Liu, Yang Xie, X. Shirley Liu
    Nature Communications 7, 11305 (2016)

See complete list of publications on Google Scholar.

Recruitment

The Zang lab is recruiting motivated young students and scholars to work on a variety of topics in computational biology in a collaborative research team. Postdocs, graduate students, and undergraduate students are all welcome. Please contact Dr. Zang for any questions.