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.
Education
2003~2010
Ph.D.,
Dalian Institute of Chemical Physics, Chinese Academy of Sciences
1999~2003
Bachelor
of science, University of science and technology of China
Professional Experience
2021-
Director
of Bioinformatics Center, National Institute of Biological Science, Beijing
2016~2021
Associate
researcher, Department of life sciences and medicine, University of science and
technology of China
2014~2016
Postdoctoral
researcher, Department of chemistry, Columbia University
2010~2014
Post-doctoral,
Department of chemistry, University of California, Berkeley
Publications
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.