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Bin Li, Ph.D.

Director of Bioinformatics Center, NIBS, Beijing, China

Email: libin@nibs.ac.cn

Dr. Li Bin is currently the director of the Bioinformatics Center of NIBS. He is committed to developing new machine learning and apply them to precision medicine, analyze genomic big data, study the biological factors of cell development and pathology, and explore the pathogenesis and potential drug targets of epidemic infectious diseases and malignant tumors. These research results have been published in Genome Biology, Nature Communications, Briefings in Bioinformatics and other journals.

Bioinformatics Center

A variety of sequencing technologies have been widely used in biology and clinical medicine research in recent years, allowing us to understand the internal mechanisms of cell development, differentiation, transformation, and pathological changes from genomic information. However, in-depth analysis of massive sequencing data is still a problem, especially as the scale of single-cell sequencing data increases exponentially, and there is an urgent need for efficient and accurate bioinformatics algorithms and tools. The Bioinformatics Center will provide bioinformatics analysis services for the labs in the National Institute of Biological Sciences (NIBS), including the analysis and mining of single-cell genomics data, spatial transcriptomics data, epigenomics data, and proteomics data. Furthermore, we will develop new machine learning and deep learning algorithms to analyze different types of large-scale sequencing data, explore the pathogenesis of various major diseases and potential drug targets, and provide support for personalized and precise diagnosis and treatment of patients.



Ph.D., Dalian Institute of Chemical Physics, Chinese Academy of Sciences


Bachelor of science, University of science and technology of China

Professional Experience


Director of Bioinformatics Center, National Institute of Biological Science, Beijing


Associate researcher, Department of life sciences and medicine, University of science and technology of China


Postdoctoral researcher, Department of chemistry, Columbia University


Post-doctoral, Department of chemistry, University of California, Berkeley


1.    Bin Li#, Young Li#, Kun Li, Lianbang Zhu, Qiaoni Yu, Jingwen Fang, Pengfei Cai, Chen Jiang, Kun Qu, “APEC: An accesson-based method for single-cell chromatin accessibility analysis”, Genome Biology, 2020, 21, 116.

2.    Chuang Guo#, Bin Li#, Huan Ma, Xiaofang Wang, Lianxin Liu, Xiaoling Ma, Jianping Weng, Haiming Wei, Tengchuan Jin*, Jun Lin*, Kun Qu*, “Single-cell analysis of two severe COVID-19 patients reveals a monocyte-associated and tocilizumab-responding cytokine storm”, Nature Communications, 2020, 11, 3924.

3.    Yinlei Hu#, Bin Li#, Wen Zhang, Nianping Liu, Pengfei Cai, Falai Chen* and Kun Qu*, “WEDGE: imputation of gene expression values from single-cell RNA-seq datasets using biased matrix decomposition”, Briefings in Bioinformatics, 2021,  https://doi.org/10.1093/bib/bbab085

4.    Zuqi Zuo, Yonghao Jin, Wen Zhang, Yichen Lu, Bin Li*, Kun Qu*, “ATAC-pipe: general analysis of genome-wide chromatin accessibility”, Briefings in Bioinformatics, 2019, 20, 1934–1943.