Author

Ziyuan Wang

University of ArizonaORCID 0000-0002-2476-2929Unclaimed ORCID profile · follow to get notified of new preprints

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Ziyuan Wang1 paper · University of Arizona

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Hao Helen ZhangiD· 2 shared Hongxu DingiD· 2 shared Jianwen QueiD· 2 shared Ning HaoiD· 2 shared Xiaoxiao SuniD· 2 shared Yinshan FangiD· 2 shared Handong SuiD· 1 shared Jianwei ZhangiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Hao Helen ZhangORCID

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3 papers

Recent·Most cited

Training Data Diversity Enhances the Basecalling of Novel RNA Modification-Induced Nanopore Sequencing Readouts

Ziyuan Wang, Ziyang Liu, Yinshan Fang, Hao Helen Zhang, Xiaoxiao Sun, Ning Hao, Jianwen Que, Hongxu Ding

This study shows that diverse training data improves basecalling accuracy for novel RNA modifications in nanopore sequencing.

Nature Communications · Jan 15, 2025Peer-reviewedBioinformatics

Adapting Nanopore Sequencing Basecalling Models for Modification Detection via Incremental Learning and Anomaly Detection

Ziyuan Wang, Yinshan Fang, Ziyang Liu, Ning Hao, Hao Helen Zhang, Xiaoxiao Sun, Jianwen Que, Hongxu Ding

This paper adapts nanopore sequencing basecalling models for modification detection using incremental learning and anomaly detection, achieving single-molecule and single-nucleotide resolution across multiple species and modification types.

Nature Communications · Aug 21, 2024Peer-reviewedBioinformatics

DEGAP: Dynamic Elongation of a Genome Assembly Path

Yicheng Huang, Ziyuan Wang, Monica A. Schmidt, Handong Su, Lizhong Xiong, Jianwei Zhang

DEGAP fills gaps in genome assemblies using HiFi reads to improve accuracy and length, offering modes to eliminate or shorten gaps in complex regions.

Briefings in Bioinformatics · Mar 27, 2024Peer-reviewedBioinformatics