Author

Ryan Dohn

University of Chicago

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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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alan Selewa· 2 shared Anindita BasuiD· 2 shared Bingqing XieiD· 2 shared Heather EckartiD· 2 shared Eric GauchatiD· 1 shared Jonathan E. Burnett· 1 shared Katherine RhodesiD· 1 shared Rebecca BackiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Alan Selewa

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2 papers

Recent·Most cited

mDrop-seq: Massively parallel single-cell RNA-seq of Saccharomyces cerevisiae and Candida albicans

Ryan Dohn, Bingqing Xie, Rebecca Back, Alan Selewa, Heather Eckart, Reeta P. Rao, Anindita Basu

The paper introduces mDrop-seq, a high-throughput scRNA-seq technique for yeast species, and demonstrates its use in profiling gene expression in Saccharomyces cerevisiae and Candida albicans under various conditions.

Vaccines · Dec 27, 2021Peer-reviewedGenomics

Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation

Alan Selewa, Ryan Dohn, Heather Eckart, Stephanie Lozano, Bingqing Xie, Eric Gauchat, Reem Elorbany, Katherine Rhodes, Jonathan E. Burnett, Yoav Gilad, Sebastian Pott, Anindita Basu

The paper compares Drop-seq and DroNc-seq in profiling cardiomyocyte differentiation, finding similar cell types and trajectories in both methods.

Scientific Reports · Jan 30, 2020Peer-reviewedGenomics