Author

Tong Zhang

Shandong UniversityORCID 0009-0008-9723-5645Unclaimed ORCID profile · follow to get notified of new preprints

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Tong Zhang9 papers · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Beifang NiuiD· 2 shared Lifeng YaniD· 2 shared Weiguo LiuiD· 2 shared Zekun YiniD· 2 shared Bertil Schmibt· 1 shared Bertil SchmidtiD· 1 shared Guiliang Ma· 1 shared Hao ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Beifang NiuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 9, 2026

RabbitCD-HIT: Distributed High-Sensitivity Greedy Incremental Clustering for Billion-Scale Protein Sequences in Hours

Yijie Gao, Guiliang Ma, Zekun Yin…·Weiguo Liu

RabbitCD-HIT clusters billion-scale protein sequences efficiently, achieving faster performance than CD-HIT on large datasets.

DOI 10.64898/2026.11.05.764756

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsFuture Generation Computer SystemsPeer-reviewedMar 15, 2026

RabbitVar: ultra-fast and accurate somatic small-variant calling on multi-core architectures

Hao Zhang, Lin Gan, Zekun Yin…·Weiguo Liu

RabbitVar is a somatic variant caller that achieves high accuracy and efficiency for small variants in cancer genomics, outperforming existing tools on real-world datasets.

DOI 10.1016/j.future.2026.108480

humanwhole-genome sequencing

𝕏 PostBluesky