Author

Yan Li

Case Western Reserve UniversityORCID 0000-0002-2091-7313Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yan Li32 papers · National Institutes of Health

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Alan AttieiD· 1 shared Anastasia GoloviniD· 1 shared Appakalai N. BalamuruganiD· 1 shared Bin LiuiD· 1 shared Bing XieiD· 1 shared Bo YangiD· 1 shared Bo ZhouiD· 1 shared Chen FangiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Alan AttieORCID

Author profile →

3 papers

Recent·Most cited

INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

Chenyang Dong, Shane P. Simonett, Sunyoung Shin, Donnie S. Stapleton, Kathryn L. Schueler, Gary A. Churchill, Leina Lu, Xiaoxiao Liu, Fulai Jin, Yan Li, Alan Attie, Mark P. Keller, Sündüz Keleş

INFIMA identifies effector genes of GWAS variants by integrating multi-omics data from mice and applying it to diabetes-associated variants.

Genome biology · Aug 23, 2021Peer-reviewedBioinformatics

Two Color Single Molecule Sequencing on GenoCare 1600 Platform to Facilitate Clinical Applications

Chen Fang, Bin Liu, Meirong Chen, Zefei Jiang, Zhiliang Zhou, Ping Chun Wu, Meng Zhang, Huan Jin, Linsen Li, Liuyan Lu, Qi Wang, Huan Shang, Bing Xie, Lei Liu, Xia Lin, , Qin Yan

The paper presents sequencing data from the GenoCare 1600 platform, demonstrating high accuracy and clinical applicability for microbial and viral samples.

medRxiv · Sep 28, 2020 · PreprintGenetic & Genomic Medicine

Myt Transcription Factors prevent stress-response gene over-activation to enable postnatal pancreatic β cell proliferation and function

Ruiying Hu, Emily M. Walker, Yanwen Xu, Chen Lu Huang, Chen Weng, Gillian E. Erickson, Anastasia Golovin, Xiaodun Yang, Marcella Brissova, Appakalai N. Balamurugan, Christopher V.E. Wright, Yan Li, Roland W. Stein, Guoqiang Gu

This study shows that Myt transcription factors prevent over-activation of stress-response genes in pancreatic β cells, maintaining their function and survival.

bioRxiv · Sep 18, 2019 · PreprintDevelopmental Biology