Author

Xiao Wang

Shandong Academy of Agricultural SciencesORCID 0000-0002-8652-8820Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiao Wang13 papers · Indiana University Bloomington

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Dan HaoiD· 2 shared Houcheng LiiD· 2 shared Jingsheng LuiD· 2 shared Lingzhao FangiD· 2 shared Pengju ZhaoiD· 2 shared Qin Zhang· 2 shared Bingjin LiniD· 1 shared Bingxing AniD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenomics

Dan HaoORCID

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3 papers

Recent·Most cited

Genetic regulation of circulating metabolome in cattle

Jun Teng, Houcheng Li, Jian Yang, Jingsheng Lu, Chongwei Duan, Zhujun Chen, Xinyi Zhang, Xiuxin Zhao, Fen Pei, Xiaoping Wu, Pengju Zhao, Haihan Zhang, Hongding Gao, Lewei Guo, Dan Wang, , Xiao Wang

The paper presents a cattle metabolome atlas linking genetic variants to metabolites and traits, revealing colocalization with eQTL and causal gene-metabolite-trait networks.

bioRxiv · Sep 11, 2026 · PreprintGenetics

Sex-specific Genetic Regulatory Effects in Chickens

Haihan Zhang, Bingjin Lin, Yang Xi, Di Zhu, Chen Peng, Junhao Tu, Huichao Liu, Dailu Guan, Qingyuan Ouyang, Bogong Liu, Chenyu Fan, Zichao Song, Xing Meng, Houcheng Li, Bingxing An, , Xi He

The paper identifies sex-specific genetic regulatory effects in chickens using whole-genome sequencing and transcriptomes, revealing sex-dependent gene regulation and structural variants.

bioRxiv · Feb 28, 2026 · PreprintGenomics

GeneDMRs: an R package for Gene-based Differentially Methylated Regions analysis

Xiao Wang, Dan Hao, Haja N. Kadarmideen

GeneDMRs is an R package that identifies gene-based differentially methylated regions using NGS methylome data, applied to mouse RRBS data to uncover novel biological insights.

Journal of Computational Biology · Nov 13, 2020Peer-reviewedBioinformatics