Author

Zekun Yin

Shandong UniversityORCID 0000-0001-6002-0028Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Beifang NiuiD· 3 shared Lifeng YaniD· 3 shared Weiguo LiuiD· 3 shared Bertil SchmidtiD· 2 shared Hao ZhangiD· 2 shared Tong ZhangiD· 2 shared Yanjie WeiiD· 2 shared Bertil Schmibt· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Beifang NiuORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

Yijie Gao, Guiliang Ma, Zekun Yin, Lifeng Yan, Yang Yang, Tong Zhang, Tiancheng Zhao, Zhuo Liu, Xiaohui Duan, Beifang Niu, Bertil Schmibt, Weiguo Liu

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

bioRxiv · Nov 9, 2026 · PreprintBioinformatics

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

Hao Zhang, Lin Gan, Zekun Yin, Lifeng Yan, Honglei Song, Qixin Chang, Tong Zhang, Yanjie Wei, Beifang Niu, Bertil Schmidt, 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.

Future Generation Computer Systems · Mar 15, 2026Peer-reviewedBioinformatics

RabbitTClust: enabling fast clustering analysis of millions bacteria genomes with MinHash sketches

XU Xiao-ming, Zekun Yin, Lifeng Yan, Hao Zhang, Borui Xu, Yanjie Wei, Beifang Niu, Bertil Schmidt, Weiguo Liu

RabbitTClust clusters large bacterial genome datasets using MinHash sketches, achieving fast processing times for millions of genomes.

bioRxiv · Oct 13, 2022 · PreprintBioinformatics