School of Biomedical Sciences
生物醫學學院
The Chinese University of Hong Kong 香港中文大學

Prof CAO Qin Cara


CAOQin Research Assistant Professor

Telephone:  3943 6805

Email:  This email address is being protected from spambots. You need JavaScript enabled to view it.

Address:  522A, Lo Kwee-Seong Integrated Biomedical Sciences Building, Area 39, CUHK

Publons: https://publons.com/researcher/3963428/qin-cao/

ORCID: https://orcid.org/0000-0002-3106-562X

 

 

 

 

 

 

Biography

Prof. CAO Qin (曹沁) completed her B.Eng. in Computer Science and Technology from Wuhan University, and her Ph.D. in Computer Science and Engineering (CSE) from The Chinese University of Hong Kong (CUHK). She then continued her postdoctoral research at School of Biomedical Sciences (SBS) and CSE in CUHK for three years and became a Research Assistant Professor in 2020. Her research areas are Bioinformatics and Computational Biology. Prof. Cao has received awards including Young Scholars Thesis Award from CUHK, Young Scientist Award 2nd Runner-up from Hong Kong Institution of Science and Top-10 paper in 2016-17 at RECOMB/ISCB Regulatory Systems Genomics. She has published papers in international journals including Nature Genetics, Nature Machine Intelligence, Nature Communications, Cell Reports, Briefings in Bioinformatics and BMC Genomics.

  1. Reconstruction of gene regulatory networks.
  2. Analysis of multi-omics data and 3D genome structures.
  3. Development of bioinformatics algorithms, pipelines and tools.
  1. Qian, Y.#, Zhai, E.#, Chen, S.#, Liu, Y., Ma, Y., Chen, J., Liu, J., Qin, C., Cao, Q.*, Chen, J.*, and Cai, S.* (2022). Single-cell RNA-seq dissecting heterogeneity of tumor cells and comprehensive dynamics in tumor microenvironment during lymph node metastasis in gastric cancer. International Journal of Cancer 151(8), 1367-1381.
  2. Hong, C.#, Cao, Q.#*, Zhang, Z., Tsui, S. K., & Yip, K. Y.* (2022). Reusability report: Capturing properties of biological objects and their relationships using graph neural networks. Nature Machine Intelligence, 4, 222-226.
  3. Jiang, Q.#, Ang, J. Y.#, Lee, A. Y., Cao, Q., Li, K. Y., Yip, K. Y., & Leung, D. C. (2020). G9a Plays Distinct Roles in Maintaining DNA Methylation, Retrotransposon Silencing, and Chromatin Looping. Cell Reports, 33(4), 108315.
  4. Cao, Q.#, Zhang, Z.#, Fu, A.X., Wu, Q., Lee, T.L., Lo, E., Cheng, A.S.L., Cheng, C., Leung, D., & Yip, K.Y. (2020). A unified framework for integrative study of heterogeneous gene regulatory mechanisms. Nature Machine Intelligence, 2(8), 447-456.
  5. Ho, E.Y.K.#, Cao, Q.#, Gu, M., Chan, R.W.L, Wu, Q., Gerstein, M., & Yip, K.Y. (2020). Shaping the nebulous enhancer in the era of high-throughput assays and genome editing. Briefings in Bioinformatics, 21(3), 836-850.
  6. Zhang, J. #, Lee, D. #, Dhiman, V. #, Jiang, P. #, Xu, J., McGillivray, P., Yang, H., Liu, J., Meyerson, W., Clarke, D., Gu, M., Li, S., Lou, S., Xu, J., Lochovsky, L., Ung, M., Ma, L., Yu, S., Cao, Q., Harmanci, A., Yan, K.K., Sethi, A., Gürsoy, G., Schoenberg, M.R., Rozowsky, J., Warrell, J., Emani, P., Yang, Y.T., Galeev, T., Kong, X., Liu, S., Li, X., Krishnan, J., Feng, Y., Rivera-Mulia, J.C., Adrian, J., Broach, J.R., Bolt, M., Moran, J., Fitzgerald, D., Dileep, V., Liu, T., Mei, S., Sasaki, T., Trevilla-Garcia, C., Wang, S., Wang, Y., Zang, C., Wang, D., Klein, R.J., Snyder, M., Gilbert, D.M., Yip, K., Cheng, C., Yue, F.*, Liu, X.S.*, White, K.P.*, & Gerstein, M.* (2020). An integrative ENCODE resource for cancer genomics. Nature Communications, 11(1), 1-11.
  7. Qian, Y., Liao, J., Suen, A.H.C., Lee, A.W.T., Chung, H.S., Tang, N.L.S., Chow, K.L., Cao, Q., Yip, K.L., Leung, T.Y., Chan, W.Y., Chan, D.Y.L., Li, T.C., & Lee, T.L. (2019). Comparative analysis of single-cell parallel sequencing approaches in oocyte application. The International Journal of Biochemistry and Cell Biology, 107, 1-5.
  8. Cao, Q., Anyansi, C., Hu, X., Xu, L., Xiong, L., Tang, W., Mok, M.T.S., Cheng, C., Fan, X., Gerstein, M., Cheng, A.S.L., & Yip, K.Y. (2017). Reconstruction of enhancer-target networks in 935 samples of human primary cells, tissues and cell lines. Nature Genetics, 49, 1428-1436.
  9. Cao, Q., & Yip, K.Y. (2016). A survey on computational methods for enhancer and enhancer target predictions. Computational biology and bioinformatics: Gene regulation, 3-27.
  10. Ho, E.D., Cao, Q., Lee, S.D., & Yip, K.Y. (2014). VAS: a convenient web portal for efficient integration of genomic features with millions of genetic variants. BMC Genomics, 15(1), 886.

#Co-first author
*Co-corresponding author

  1. NSFC Youth Program [PI 1-Jan-22– 31-Dec-24]. “Refining computational predictions of multiscale 3D genome structures in a large number of cancer samples” (HK$ 288,950).