Author

Rocky Cheung

University of California, Los Angeles

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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Genetics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:DNA methylation· 2 Organism:human· 2 Research Focus:variant effect prediction· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:yeast· 1

Frequent Co-Authors

Sriram KosuriiD· 3 shared Eric M. JonesiD· 2 shared Christina P. Burghard· 1 shared Claire de March· 1 shared Daniel Bryan GoodmaniD· 1 shared Daniel CancillaiD· 1 shared David YaoiD· 1 shared Frank Wolfgang AlbertiD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersGenetics

Sriram KosuriORCID

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3 papers

Recent·Most cited

Massively parallel identification of causal variants underlying gene expression differences in a yeast cross

Kaushik Renganaath, Rocky Cheung, Laura Day, Sriram Kosuri, Leonid Kruglyak, Frank Wolfgang Albert

The paper identifies 451 causal regulatory variants in yeast promoters using a massively parallel reporter assay and finds they show epistasis, conservation, and enrichment in transcription factor binding sites.

bioRxiv · Aug 31, 2020 · PreprintGenetics

A Scalable, Multiplexed Assay for Decoding Receptor-Ligand Interactions

Eric M. Jones, Rishi Jajoo, Daniel Cancilla, Nathan B. Lubock, Jeff Wang, Megan Satyadi, Rocky Cheung, Claire de March, Hiroaki Matsunami, Sriram Kosuri

The paper develops a high-throughput platform to screen chemical libraries against receptor repertoires, identifying novel receptor-ligand interactions.

bioRxiv · Jun 28, 2018 · PreprintBiochemistry

Many rare genetic variants have unrecognized large-effect disruptions to exon recognition

Rocky Cheung, Kimberly D. Insigne, David Yao, Christina P. Burghard, Eric M. Jones, Daniel Bryan Goodman, Sriram Kosuri

The paper identifies rare genetic variants that cause large disruptions to exon recognition, using a new assay called MFASS, and finds most of these variants are not in canonical splice sites.

bioRxiv · Mar 10, 2018 · PreprintGenetics