Author

Feng Hu

Agricultural Genomics Institute at ShenzhenORCID 0000-0002-0865-0206Unclaimed ORCID profile · follow to get notified of new preprints

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Feng Hu4 papers · East China University of Science and Technology

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Alun LiiD· 2 shared Jue RuaniD· 2 shared Yuxiao ChangiD· 2 shared Benying LiuiD· 1 shared Changrui FengiD· 1 shared Cheng AiiD· 1 shared Chong-Ping Lai· 1 shared Chun-Lei MaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Alun LiORCID

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3 papers

Recent·Most cited

Sequential Amino Acid Mutagenesis-Driven De Novo Evolution of Adenine Deaminases Enables Efficient In Vivo Base Editing in Primate

Jiaoyang Liao, Hongling Zhang, Shuanghong Chen, Shenlin Hsiao, Chong-Ping Lai, Feng Hu, Wendan Ren, Changrui Feng, Da Xie, Yanqiu Zheng, Wenhui Cai, Wenlong Wang, Yanhong Jiang, Dawei Wang, Erwei Zuo, , Yuming Lu

This paper develops hpABE5.20, a base editor with improved precision and reduced off-target effects through sequential amino acid mutagenesis and AI-based structural prediction.

bioRxiv · May 14, 2025 · PreprintBioengineering

Population sequencing enhances understanding of tea plant evolution

Xinchao Wang, Feng Hu, Yuxiao Chang, Chun-Lei Ma, Liyuan Wang, Xinyuan Hao, Alun Li, Hao Cheng, Lu Wang, Peng Cui, Ji-Qiang Jin, Xiaobo Wang, Kang Wei, Cheng Ai, Sheng Zhao, , Yajun Yang

This study uses population sequencing to analyze tea plant evolution, revealing stronger selection for disease resistance and flavor in C. sinensis var. sinensis compared to C. sinensis var. assamica.

Nature Communications · Sep 7, 2020Peer-reviewedGenomics

LRScaf: Improving Draft Genomes Using Long Noisy Reads

Qin Mao, Shigang Wu, Alun Li, Fengli Zhao, Feng Hu, Lulu Ding, Yuxiao Chang, Jue Ruan

LRScaf improves draft genome assemblies using long reads, achieving higher contiguity and efficiency compared to existing methods.

BMC Genomics · Dec 1, 2019Peer-reviewedBioinformatics