Author

Li Xiao

Huazhong Agricultural University

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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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:long-read sequencing· 1 Organism:plant (other)· 1

Frequent Co-Authors

Guangbao LuoiD· 3 shared Xin WangiD· 3 shared Guizhen Lan· 1 shared Hanhui Kuang· 1 shared Jiongjiong Chen· 1 shared Junhong ZhangiD· 1 shared Mingxiang Wei· 1 shared Xiaosa XuiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersGenomics

Guangbao LuoORCID

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3 papers

Recent·Most cited

A population-scale isoform atlas enables isoform-based trait association and regulatory analysis in lettuce

Guangbao Luo, Li Xiao, Xiaoyan Zhang, Xiaosa Xu, Guizhen Lan, Jiongjiong Chen, Hanhui Kuang, Xin Wang

The paper constructs a population-scale isoform atlas for lettuce and develops ISONET-GWAS to analyze isoform-based trait associations and regulatory mechanisms.

bioRxiv · Nov 10, 2026 · PreprintGenomics

A haplotype-based breeding framework for the precise pyramiding of elite QTL alleles: a lettuce case study

Zhen Tu, Guangbao Luo, Li Xiao, Mingxiang Wei, Junhong Zhang, Xin Wang

This paper introduces HAPBDB, a haplotype-based breeding framework that translates regional haplotypes into breeding decisions, demonstrating its effectiveness in lettuce for QTL pyramiding.

bioRxiv · Aug 20, 2026 · PreprintBioinformatics

A sensitive and accurate framework for population-scale structural variant discovery and genotyping across sequence types

Guangbao Luo, Li Xiao, Zhangjun Fei, Xin Wang

PSVGT is a framework for population-scale structural variant discovery and genotyping that integrates multiple sequencing data types and outperforms existing tools, especially in complex genomes and low-coverage long-read data.

bioRxiv · Jan 12, 2026 · PreprintGenomics