Author

Xun Zhu

St. Jude Children's Research HospitalPrimary ORCID profile (0000-0001-9097-7824 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Xun ZhuiD5 papers · University of Hawaiʻi at Mānoa

Biology Disciplines

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Bioinformatics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Ailan Lin· 1 shared Chulin ShaiD· 1 shared Devansh Shah· 1 shared Gang WuiD· 1 shared Gang Wu· 1 shared Guoyan LuoiD· 1 shared Haifeng QianiD· 1 shared Hong WangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBiochemistry

Ailan Lin

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2025

MitoEdit: a pipeline for optimizing mtDNA base editing and predicting bystander effects

Devansh Shah, Kelly McCastlain, Ti‐Cheng Chang…·Mondira Kundu

MitoEdit predicts optimal mtDNA base editing targets and bystander effects to reduce empirical testing.

1 citation

humanDNA methylation

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BiochemistryNature CommunicationsPeer-reviewedAug 8, 2024

Blocker-SELEX: A Structure-guided Strategy for Developing Inhibitory Aptamers Disrupting Undruggable Transcription Factor Interactions

Tongqing Li, Xueying Liu, Haifeng Qian…·Weihong Tan

This paper introduces Blocker-SELEX, a structure-guided method to design inhibitory aptamers that disrupt transcription factor interactions, demonstrating efficacy against SCAF4/SCAF8-RNAP2 and WDR5-MYC complexes.

37 citationstop 4%

deep learningexperimental assay

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BioinformaticsbioRxivPreprintOct 8, 2020

idCOV: a pipeline for quick clade identification of SARS-CoV-2 isolates

Xun Zhu, Ti-Cheng Chang, Richard Webby, Gang Wu

idCOV identifies SARS-CoV-2 clades from raw sequencing data using a marker list, matching Nextstrain's annotations across three clade systems.

4 citations

viruswhole-genome sequencing

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