Author

Zhen-Dong Zhong

Sun Yat-sen UniversityORCID 0009-0009-4009-9766Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Guan‐Zheng LuoiD· 3 shared Ying-Yuan XieiD· 3 shared Zhang ZhangiD· 3 shared Fu Wu· 2 shared Hong-Xuan CheniD· 2 shared Ye-Lin Lan· 2 shared Ze-Hui ReniD· 2 shared Zhi-Shuo Qiao· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBioinformatics

Guan‐Zheng LuoORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 16, 2026

OpenBase: a universal framework for high-accuracy single-molecule detection of diverse non-canonical DNA bases using nanopore sequencing

Zhen-Dong Zhong, Ying-Yuan Xie, Rujia Luo…·Guan‐Zheng Luo

OpenBase provides a framework for high-accuracy detection of diverse non-canonical DNA bases using nanopore sequencing through standardized training data and deep learning models.

DOI 10.64898/2026.05.13.724850

long-read sequencingdeep learning

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BioinformaticsbioRxivPreprintMay 10, 2026

Deciphering the epitranscriptomic code of RNA degradation with nanopore direct RNA sequencing

Zhang Zhang, Chen‐Long Wang, Zhihao Zhang…·Guan‐Zheng Luo

This study uses nanopore direct RNA sequencing to analyze how m6A modifications and poly(A) tail dynamics influence RNA degradation kinetics and isoform-specific decay.

DOI 10.64898/2026.05.09.723953

humanlong-read sequencing

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BiochemistrybioRxivNov 16, 2023

Single-Molecule Direct RNA Sequencing Reveals the Shaping of Epitranscriptome Across Multiple Species

Ying-Yuan Xie, Zhen-Dong Zhong, Hong-Xuan Chen…·Guan-Zheng Luo

This study introduces SingleMod, a deep learning model for m6A modification mapping using single-molecule RNA sequencing, revealing m6A heterogeneity and species-specific distribution patterns.

DOI 10.1038/s41467-025-60447-4

humanlong-read sequencing

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