Author

Jingwan Wang

BGI Group (China)ORCID 0000-0002-8683-0499Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Jian WangiD· 2 shared Xiao LiuiD· 2 shared Xun XuiD· 2 shared Andrei Alexeev· 1 shared Ao CheniD· 1 shared Bangwei CheniD· 1 shared Bin LiiD· 1 shared Bingbing Fan· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Jian WangORCID

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4 papers

Recent·Most cited

OmicsSankey: Crossing Reduction of Sankey Diagram on Omics Data

Shiying Li, Bowen Tan, Si Ouyang, Zhao Ling, Miaozhe Huo, Tongfei Shen, Jingwan Wang, Xikang Feng

OmicsSankey improves Sankey diagram layouts for omics data using eigen decomposition and teleportation, enhancing interpretability on synthetic datasets.

bioRxiv · Jun 13, 2025 · PreprintBioinformatics

STORM: spectral sparsification helps restore the spatial structure at single-cell resolution

Jingwan Wang, Shiying Li, Lingxi Chen, Shuai Cheng Li

STORM reconstructs single-cell resolution quasi-structures from spatial transcriptomes by reducing pseudo affinities and embedding interactions into a low-dimensional space.

bioRxiv · Jan 25, 2022 · PreprintBioinformatics

Efficient long single molecule sequencing for cost effective and accurate sequencing, haplotyping, and de novo assembly

Ou Wang, Robert G. Chin, Xiaofang Cheng, Michelle Ka Yan Wu, Qing Mao, Jingbo Tang, Yuhui Sun, Ellis Anderson, Han K. Lam, Dan Chen, Yujun Zhou, Linying Wang, Fei Fan, Yan Zou, Yinlong Xie, , Brock A. Peters

This paper introduces stLFR, a low-cost method for long DNA sequencing that enables accurate variant calling, haplotyping, and de novo assembly.

Genome Research · May 1, 2019Peer-reviewedGenomics

Single-cell Transcriptomic Landscape of Nucleated Cells in Umbilical Cord Blood

Yi Zhao, Xiao Li, Weihua Zhao, Jingwan Wang, Jiawei Yu, Ziyun Wan, Kai Gao, Gang Yi, Wang Xie, Bingbing Fan, Qinkai Wu, Bangwei Chen, Feng Xie, Jinghua Wu, Wei Zhang, , Xiao Liu

The paper presents a single-cell transcriptomic analysis of nucleated cells in umbilical cord blood, identifying cell types, subpopulations, and transcriptional programs that may impact transplant outcomes.

GigaScience · May 1, 2019Peer-reviewedGenomics