Author

Li Wang

Chinese Academy of Sciences

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Biology Disciplines

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Cancer Biology· 6 Genomics· 5 Molecular Biology· 5 Neuroscience· 4 Developmental Biology· 3 Systems Biology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 18 Approach:statistical model· 16 Research Focus:differential expression· 15 Organism:human· 15 Research Focus:gene regulatory network inference· 10 Research Focus:cell type annotation· 9 Organism:mouse· 7 Assay:bulk RNA-seq· 6

Frequent Co-Authors

Grace X. Y. ZhengiD· 2 shared Jeroen KrijgsveldiD· 2 shared Johannes BetgeiD· 2 shared Kim E. BoonekampiD· 2 shared Michael BoutrosiD· 2 shared Nachiyappan VenkatachalamiD· 2 shared Olga Skabkina· 2 shared Robert IhnatkoiD· 2 shared

Activity by Year

2014-2026 · peak 8/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Grace X. Y. ZhengORCID

Author profile →

33 papers

Recent·Most cited

High-throughput Screening and CRISPR-Cas9 Modeling of Causal Lipid-associated Expression Quantitative Trait Locus Variants

Avanthi Raghavan, Xiao Wang, Peter Rogov, Li Wang, Xiaolan Zhang, Tarjei S. Mikkelsen, Kiran Musunuru

The paper validates two lipid-associated expression quantitative trait loci variants using CRISPR-Cas9 and functional assays.

bioRxiv · Jun 2, 2016 · PreprintGenomics

Recent demography drives changes in linked selection across the maize genome

Timothy Mathes Beissinger, Li Wang, Kate Crosby, Arun Durvasula, Matthew B Hufford, Jeff Ross-Ibarra

The paper examines how recent demographic changes in maize affect linked selection, finding reduced purifying selection during domestication and stronger purifying selection in young alleles due to population expansion.

bioRxiv · Mar 24, 2016Evolutionary Biology

Comprehensive mutational scanning of a kinase in vivo reveals substrate-dependent fitness landscapes

Alexandre Melnikov, Peter Rogov, Li Wang, Andreas Gnirke, Tarjei S Mikkelsen

This study uses deep mutational scanning to show that fitness landscapes of a kinase depend on antibiotic structure and concentration, enabling the design of variants with orthogonal substrate specificities.

bioRxiv · Jun 10, 2014Molecular Biology