Author

Lei-Hoon See

Cold Spring Harbor Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aleksandar MilosavljeviciD· 1 shared Alessandra BreschiiD· 1 shared Alex Dobin· 1 shared Alexander DobiniD· 1 shared Alexandra Scavelli· 1 shared Ali MortazaviiD· 1 shared Ana BertheliD· 1 shared Andrea Tanzer· 1 shared

Activity by Year

2014-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Aleksandar MilosavljevicORCID

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2 papers

Recent·Most cited

The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models

Joel S. Rozowsky, Jiahao Gao, Beatrice Borsari, Yucheng Yang, Timur R. Galeev, Gamze Gürsoy, Charles B. Epstein, Kun Xiong, Jinrui Xu, Tianxiao Li, Jason J. Liu, Keyang Yu, Ana Berthel, Zhanlin Chen, Fábio C. P. Navarro, , B Bernstein

The paper introduces the EN-TEx resource, which provides personal epigenomes and variant-impact models across multiple tissues, revealing allele-specific loci and their associations with GWAS loci.

Cell · Mar 1, 2023Peer-reviewedGenomics

Enhanced Transcriptome Maps from Multiple Mouse Tissues Reveal Evolutionary Constraint in Gene Expression for Thousands of Genes

Dmitri Pervouchine, Sarah Djebali, Alessandra Breschi, Carrie A Davis, Pablo Prieto Barja, Alex Dobin, Andrea Tanzer, Julien Lagarde, Chris Zaleski, Lei-Hoon See, Meagan Fastuca, Jorg Drenkow, Huaien Wang, Giovanni Bussotti, Baikang Pei, , Thomas R Gingeras

The paper analyzes RNA-seq data from multiple mouse tissues to identify genes with conserved expression patterns across species and cell types, revealing evolutionary constraints in gene expression.

bioRxiv · Oct 30, 2014Bioinformatics