Author

Yuhuan Meng

Kingmed DiagnosticsORCID 0000-0001-7464-3103Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

Dawei JiangiD· 2 shared Hongli DuiD· 2 shared Jerome Rumdon LoniD· 2 shared Meiling HuiD· 2 shared Shudai LiniD· 2 shared Yunmeng BaiiD· 2 shared Binbin XiiD· 1 shared Lizhen HuangiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Dawei JiangORCID

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2 papers

Recent·Most cited

Real-time monitoring epidemic trends and key mutations in SARS-CoV-2 evolution by an automated tool

Binbin Xi, Dawei Jiang, Shuhua Li, Jerome Rumdon Lon, Yunmeng Bai, Shudai Lin, Meiling Hu, Yuhuan Meng, Yimo Qu, Yuting Huang, Wei Yong Liu, Lizhen Huang, Hongli Du

The paper introduces an automated tool, AutoVEM, to monitor SARS-CoV-2 haplotype subgroup trends and key mutations, analyzing 131,576 genomes in 18 hours.

Computational and Structural Biotechnology Journal · Jan 1, 2021Peer-reviewedGenomics

Comprehensive evolution and molecular characteristics of a large number of SARS-CoV-2 genomes revealed its epidemic trend and possible origins

Yunmeng Bai, Dawei Jiang, Jerome Rumdon Lon, Xiaoshi Chen, Meiling Hu, Shudai Lin, Zixi Chen, Xiaoning Wang, Yuhuan Meng, Hongli Du

The paper analyzes the evolution and molecular characteristics of over 16,000 SARS-CoV-2 genomes to reveal its epidemic trend and possible origins.

bioRxiv · Apr 24, 2020 · PreprintBioinformatics