Author

Jason H. Bielas

University of Washington

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 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Alexander K.C. WongiD· 1 shared Annalyssa Long· 1 shared Benjamin J. Hindson· 1 shared Cedric R. UytingcoiD· 1 shared Christopher M. Hindson· 1 shared Christopher McFarlandiD· 1 shared Claire S ChungiD· 1 shared Don A. Masquelier· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperGenomics

Alexander K.C. WongORCID

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Author profile →

3 papers

Recent·Most cited

MADDD-seq, a novel massively parallel sequencing tool for simultaneous detection of DNA damage and mutations

Marc Vermulst, Samantha Paskvan, Claire S Chung, Kathryn Franke, Nigel J. Clegg, Sam Minot, Jennifer J. Madeoy, Annalyssa Long, Jean-François Goût, Jason H. Bielas

MADDD-seq detects DNA damage and mutations simultaneously in yeast using a modified double barcoding sequencing approach, revealing repair kinetics and mutagenesis over 24 hours.

Nucleic Acids Research · Jul 17, 2024Peer-reviewedGenetics

BayesSpace enables the robust characterization of spatial gene expression architecture in tissue sections at increased resolution

Edward J. Zhao, Matthew R. Stone, Xing Ren, Jamie Guenthoer, Kimberly S. Smythe, Thomas Pulliam, Stephen R. Williams, Cedric R. Uytingco, Sarah E. B. Taylor, Paul Nghiem, Jason H. Bielas, Raphaël Gottardo

BayesSpace enhances spatial transcriptomics resolution and clustering, revealing tissue structures undetectable at lower resolutions.

Nature Biotechnology · Jun 3, 2021Peer-reviewedBioinformatics

Massively parallel digital transcriptional profiling of single cells

Grace X. Y. Zheng, Jessica M. Terry, Phillip Belgrader, Paul Ryvkin, Zachary Bent, Ryan Wilson, Solongo B. Ziraldo, Tobias D. Wheeler, Geoff P. McDermott, Junjie Zhu, Mark Gregory, Joe Shuga, Luz Montesclaros, Jason G. Underwood, Don A. Masquelier, , Jason H. Bielas

8-channel GemCode droplet barcoding captures ∼50% of loaded cells for 3′ mRNA counting, profiling 68k peripheral blood mononuclear cells and calling transplant chimerism from transcript variants.

Nature Communications · Jan 16, 2017Peer-reviewedGenomics✦ In-depth digest