Departmental Affiliations
Weiqiang Zhou, PhD, develops statistical and computational tools for integrative analysis of large-scale genomic data to study gene regulation in cancer and immune system.
Research Interests
genomics; single-cell; bioinformatics; biostatistics; cancer immunotherapy
Additional Links
Experiences & Accomplishments
My primary research interest is developing statistical and computational tools for integrative analysis of various types of large-scale genomic data. My current research projects include i) predicting chromatin accessibility based on gene expression, ii) developing new tools for integrating single-cell genomic data, and iii) discovering the genomic basis of heterogeneous response to cancer immunotherapy.
Honors & Awards
Johns Hopkins Bloomberg School of Public Health Faculty Innovation Fund Award
Select Publications
Selected publications
Zhou, W. et al. Genome-wide Prediction of DNase I Hypersensitivity Using Gene Expression. Nature communications 8, 1038 (2017).
Ji, Z., Zhou, W. & Ji, H. Single-cell regulome data analysis by SCRAT. Bioinformatics 33, 2930–2932 (2017). [Joint first author]
Zhou W, Ji Z, Fang W, Ji H. Global prediction of chromatin accessibility using small-cell-number and single-cell RNA-seq. Nucleic Acids Research 47(19), e121 (2019).
Ji Z, Zhou W, Hou W, Ji H. Single-cell ATAC-seq signal extraction and enhancement with SCATE. Genome Biology 21(1), 161 (2020).
Ziqi Fu, Monica S Guo, Weiqiang Zhou, Jie Xiao, Differential roles of positive and negative supercoiling in organizing the E. coli genome, Nucleic Acids Research 52(2), 724–737 (2024). [joint corresponding author]