Kang Hu
Postdoctoral Associate in Biomedical Informatics and Data ScienceAbout
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Titles
Postdoctoral Associate in Biomedical Informatics and Data Science
Biography
Kang Hu is a postdoctoral associate at Yale University with a research focus on computational genomics and transposable element biology. He earned his Ph.D. in Computer Science from Central South University in 2025, where he developed HiTE and panHiTE, two bioinformatics frameworks for accurate detection and annotation of transposable elements in population-scale genomic studies. He previously obtained an M.S. in Computer Science from Central South University and a B.S. in Computer Science from Sichuan University.
Last Updated on October 02, 2025.
Appointments
Biomedical Informatics & Data Science
Postdoctoral AssociatePrimary
Other Departments & Organizations
Education & Training
- PhD
- Central South University, Computer Science and Technology (2025)
- MS
- Central South University, Computer Science and Technology (2019)
- BS
- Sichuan University, Electronic Information Engineering (2016)
Research
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Overview
- Design efficient algorithms for detecting various transposable elements in genome assemblies.
- Develop accurate classification methods for transposable elements with the help of deep learning methods.
- Identify transposons in large-scale populations and investigate transposon-driven individual variations.
ORCID
0009-0002-8971-3404- View Lab Website
Cheng Lab
Research at a Glance
Publications Timeline
A big-picture view of Kang Hu's research output by year.
9Publications
131Citations
Publications
Featured Publications
HiTE: a fast and accurate dynamic boundary adjustment approach for full-length transposable element detection and annotation
Hu K, Ni P, Xu M, Zou Y, Chang J, Gao X, Li Y, Ruan J, Hu B, Wang J. HiTE: a fast and accurate dynamic boundary adjustment approach for full-length transposable element detection and annotation. Nature Communications 2024, 15: 5573. PMID: 38956036, PMCID: PMC11219922, DOI: 10.1038/s41467-024-49912-8.Peer-Reviewed Original ResearchCitationsAltmetric
2026
TREPP: Tandem Repeat Expansion Pathogenicity Prediction via Stacked CatBoost and Context-Aware Sequence Features
Xu M, Hu K, Deng C, Ni P, Wang J. TREPP: Tandem Repeat Expansion Pathogenicity Prediction via Stacked CatBoost and Context-Aware Sequence Features. IEEE Transactions On Computational Biology And Bioinformatics 2026, PP: 1-12. PMID: 42441462, DOI: 10.1109/tcbbio.2026.3712297.Peer-Reviewed Original Research
2025
panHiTE: A comprehensive and accurate pipeline for TE detection in large-scale population genomes
Hu K, Xu M, Ding L, Zou Y, Gao X, Wang J. panHiTE: A comprehensive and accurate pipeline for TE detection in large-scale population genomes. Plant Communications 2025, 7: 101669. PMID: 41376169, PMCID: PMC12983257, DOI: 10.1016/j.xplc.2025.101669.Peer-Reviewed Original ResearchCitationsAltmetricTREPP: Tandem Repeat Expansion Pathogenicity Predicting Approach Using Stacked CatBoost Models and Multiple Features
Xu M, Hu K, Deng C, Ni P, Wang J. TREPP: Tandem Repeat Expansion Pathogenicity Predicting Approach Using Stacked CatBoost Models and Multiple Features. Lecture Notes In Computer Science 2025, 15756: 325-336. DOI: 10.1007/978-981-95-0698-9_27.Chapters
2024
NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion
Hu, Kang, et al. "NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion." Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 2024.Peer-Reviewed Original ResearchNeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion
Hu K, Xu M, Gao X, Wang J. NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion. 2024, 1-10. DOI: 10.1145/3698587.3701346.Peer-Reviewed Original ResearchCitations
2021
msRepDB: a comprehensive repetitive sequence database of over 80 000 species
Liao X, Hu K, Salhi A, Zou Y, Wang J, Gao X. msRepDB: a comprehensive repetitive sequence database of over 80 000 species. Nucleic Acids Research 2021, 50: d236-d245. PMID: 34850956, PMCID: PMC8728181, DOI: 10.1093/nar/gkab1089.Peer-Reviewed Original ResearchCitationsAltmetricA sensitive repeat identification framework based on short and long reads
Liao X, Li M, Hu K, Wu F, Gao X, Wang J. A sensitive repeat identification framework based on short and long reads. Nucleic Acids Research 2021, 49: e100-e100. PMID: 34214175, PMCID: PMC8464074, DOI: 10.1093/nar/gkab563.Peer-Reviewed Original ResearchCitationsAltmetricMultiNanopolish: refined grouping method for reducing redundant calculations in Nanopolish
Hu K, Huang N, Zou Y, Liao X, Wang J. MultiNanopolish: refined grouping method for reducing redundant calculations in Nanopolish. Bioinformatics 2021, 37: 2757-2760. PMID: 33532819, DOI: 10.1093/bioinformatics/btab078.Peer-Reviewed Original ResearchCitationsAltmetric
Academic Achievements & Community Involvement
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Honors
honor First Prize, Hunan Provincial Graduate Innovation Competition
10/23/2024Regional AwardDetailsChina
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