Author

Xiang Zhang

Baylor College of Medicine

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

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Biology Disciplines

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Bioinformatics· 2 Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:structural biology· 1

Frequent Co-Authors

Bernd HänflingiD· 1 shared Cristina Di MuriiD· 1 shared Fei SuniD· 1 shared Gang SuniD· 1 shared Gang Tian· 1 shared Guoliang Xu· 1 shared Hayley V. Watson· 1 shared Hongyue LiiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperMolecular Biology

Bernd HänflingORCID

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4 papers

Recent·Most cited

Structural and biochemical studies of human PP2A(B55) holoenzyme and ENSA protein complex

Gang Tian, Xiang Zhang, Hongyue Li, Gang Sun, Lulu Xue, Yufeng Yang, Qiyu Mao, Yan Gao, Lei Sun, Guoliang Xu, Zhizhi Wang, Wenqing Xu

This study investigates the structural and biochemical regulation of PP2A(B55) by ENSA, revealing how pENSA inhibits the enzyme and provides insights for inhibitor development.

bioRxiv · Dec 14, 2025 · PreprintBiophysics

DeepGene: An Efficient Foundation Model for Genomics based on Pan-genome Graph Transformer

Xiang Zhang, Mingjie Yang, Xunhang Yin, Yining Qian, Fei Sun

DeepGene is a foundation model for genomics that addresses genetic language diversity, model efficiency, and length extrapolation, achieving top performance on 9 out of 28 genome understanding tasks.

IEEE Transactions on Computational Biology and Bioinformatics · Sep 25, 2025Peer-reviewedBioinformatics

TraceQC: An R package for quality control of CRISPR lineage tracing data

Jingyuan Hu, Rami Al‐Ouran, Xiang Zhang, Zhandong Liu, Hyun-Hwan Jeong

TraceQC provides quality control for CRISPR lineage tracing data to improve lineage tree reconstruction.

bioRxiv · Jun 5, 2020 · PreprintBioinformatics

Limited dispersion and quick degradation of environmental DNA in fish ponds inferred by metabarcoding

Jianlong Li, Lori Lawson Handley, Lynsey R. Harper, Rein Brys, Hayley V. Watson, Cristina Di Muri, Xiang Zhang, Bernd Hänfling

This study uses eDNA metabarcoding to show that eDNA from introduced fish species peaks within days and degrades quickly, indicating localized and transient eDNA signals in ponds.

Environmental DNA · Jun 25, 2019Peer-reviewedMolecular Biology