Author

Liyuan Wang

Agricultural Genomics Institute at ShenzhenORCID 0000-0002-1605-9192Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Liyuan Wang1 paper · Columbia University Irving Medical Center

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Alun LiiD· 1 shared Benying LiuiD· 1 shared Cheng AiiD· 1 shared Chun-Lei MaiD· 1 shared Delin MoiD· 1 shared Di LiuiD· 1 shared Dongjie ZhangiD· 1 shared Feng HuiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Alun LiORCID

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2 papers

Recent·Most cited

Multi-omics analysis reveals signatures of selection and loci associated with complex traits in pigs

Guoqiang Yi, Lei Liu, Yilong Yao, Yuwen Liu, Jiang Li, Yalan Yang, Lingzhao Fang, Delin Mo, Longchao Zhang, Yonggang Liu, Yongchao Niu, Liyuan Wang, Xiaolu Qu, Zhangyuan Pan, Lei Wang, , Zhonglin Tang

This study identifies selection signatures and loci associated with complex traits in pigs by analyzing multi-omics data from Eastern and Western breeds.

bioRxiv · Sep 19, 2023 · PreprintGenomics

Population sequencing enhances understanding of tea plant evolution

Xinchao Wang, Feng Hu, Yuxiao Chang, Chun-Lei Ma, Liyuan Wang, Xinyuan Hao, Alun Li, Hao Cheng, Lu Wang, Peng Cui, Ji-Qiang Jin, Xiaobo Wang, Kang Wei, Cheng Ai, Sheng Zhao, , Yajun Yang

This study uses population sequencing to analyze tea plant evolution, revealing stronger selection for disease resistance and flavor in C. sinensis var. sinensis compared to C. sinensis var. assamica.

Nature Communications · Sep 7, 2020Peer-reviewedGenomics