The main research fields of Dr. Li include bioinformatics and computational biology. He focuses on using quantitative methods such as machine learning, statistics and optimization theory to answer fundamental biological questions. He also designs and develops bioinformatics methods to analyze high throughput sequencing omics data. His current interests include epigenetics, gene (post)transcriptional regulation, single cell Omics and 3D genome organization.
2017.10~, SUSTech Academy for Advanced Interdisciplinary Studies, Research Assistant Professor
2017.07~2017.10, SUSTech, Department of Biology, Research Scholar
2017 Tsinghua University, Department of Automation, Ph.D.
2015~2016 Stanford University, Department of Genetics, Visiting
2012 South China University of Technology, Department of Mathematics, B.S.
1. Chen, F., Li, G., Zhang, M. Q., & Chen, Y. (2018). HiCDB: a sensitive and robust method for detecting contact domain boundaries. Nucleic Acids Research, 62795578(15), 1–12. (co-first author)
2. Li, Guipeng ; Chen, Yang; Snyder, Michael P.; Zhang, Michael Q. ChIA-PET2: a versatile and flexible pipeline for ChIA-PET data analysis, NUCLEIC ACIDS RESEARCH, 2017.1.9 45(1)
3. He Chao; Li Guipeng; Nadhir Diekidel M.; Chen Yang; Wang Xiaowo; Zhang Michael Q. Advances in computational ChIA-PET data analysis, Quantitative Biology, 2016.9.9 4(3): 217~225
4. Liang Zhengyu，Li Guipeng，Wang Zejun，Djekidel Mohamed Nadhir，Li Yanjian，Qian Min-Ping，Zhang Michael Q.，Chen Yang, BL-Hi-C is an efficient and sensitive approach for capturing structural and regulatory chromatin interactions, Nature Communications, 2017.11.20 8(1)
5. Djekidel, Mohamed Nadhir; Liang, Zhengyu; Wang, Qi; Hu, Zhirui; Li, Guipeng; Chen, Yang; Zhang, Michael Q., 3CPET: finding co-factor complexes, from ChIA-PET data using a hierarchical Dirichlet process, GENOME BIOLOGY,2015.12.22 16
6. Li, Y., He, Y., Liang, Z., Wang, Y., Chen, F., Djekidel, M. N., … Chen, Y. (2018). Alterations of specific chromatin conformation affect ATRA-induced leukemia cell differentiation. Cell Death and Disease. https://doi.org/10.1038/s41419-017-0173-6