Author

Jingkai Ji

BGI Group (China)ORCID 0000-0002-9264-7746Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 3 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Daxi WangiD· 3 shared Huanzi ZhongiD· 3 shared Jincun ZhaoiD· 3 shared Junhua LiiD· 3 shared Minfeng XiaoiD· 3 shared Peidi Ren· 3 shared Wanying Sun· 3 shared Weijun CheniD· 3 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Daxi WangORCID

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Author profile →

3 papers

Recent·Most cited

Intra-host Variation and Evolutionary Dynamics of SARS-CoV-2 Population in COVID-19 Patients

Yanqun Wang, Daxi Wang, Lu Zhang, Wanying Sun, Zhaoyong Zhang, Weijun Chen, Airu Zhu, Yongbo Huang, Fei Xiao, Jinxiu Yao, Mian Gan, Fang Li, Ling Luo, Xiaofang Huang, Yanjun Zhang, , Jincun Zhao

This study characterizes intra-host SARS-CoV-2 genomic variants and their evolutionary dynamics in COVID-19 patients using deep sequencing data.

Genome Medicine · Feb 22, 2021Peer-reviewedGenomics

Population Bottlenecks and Intra-host Evolution during Human-to-Human Transmission of SARS-CoV-2Population Bottlenecks and Intra-host Evolution during Human-to-Human Transmission of SARS-CoV-2

Daxi Wang, Yanqun Wang, Wanying Sun, Lu Zhang, Jingkai Ji, Zhaoyong Zhang, Xinyi Cheng, Yimin Li, Fei Xiao, Airu Zhu, Bei Zhong, Shicong Ruan, Jiandong Li, Peidi Ren, Zhihua Ou, , Yonghao Xu

This study compares SARS-CoV-2 viral populations in COVID-19 patients to show narrow transmission bottlenecks and stochastic dynamics in intra-host and inter-host evolution.

Frontiers in Medicine · Feb 15, 2021Peer-reviewedGenetics

Multiple approaches for massively parallel sequencing of HCoV-19 (SARS-CoV-2) genomes directly from clinical samples

Minfeng Xiao, Xiaoqing Liu, Jingkai Ji, Min Li, Jiandong Li, Lin Yang, Wanying Sun, Peidi Ren, Guifang Yang, Jincun Zhao, Tianzhu Liang, Huahui Ren, Tian Chen, Huanzi Zhong, Wenchen Song, , Junhua Li

This paper compares amplicon, hybrid capture, and metatranscriptomic sequencing methods for directly sequencing SARS-CoV-2 genomes from clinical samples, finding differences in bias, sensitivity, and accuracy.

Genome Medicine · Jun 30, 2020Peer-reviewedGenomics