Author

Alex Dobin

Arc Research Institute

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 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Organism:mouse· 1

Frequent Co-Authors

Aidan F. WintersiD· 1 shared Alessandra BreschiiD· 1 shared Alexander MarsoniD· 1 shared Andrea Tanzer· 1 shared Arif Harmanci· 1 shared Ayush AgrawaliD· 1 shared Baikang Pei· 1 shared Caroline M. WilsoniD· 1 shared

Activity by Year

2014-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSynthetic Biology

Aidan F. WintersORCID

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Author profile →

2 papers

Recent·Most cited

Scalable probe-based single-cell transcriptional profiling for virtual cell perturbation mapping and synthetic biology phenotyping

Jason T. Swinderman, Po‐Yuan Tung, Aidan F. Winters, Laine Goudy, Caroline M. Wilson, Lexi R. Bounds, Noam Teyssier, Ayush Agrawal, Alex Dobin, Tony Hua, Hani Goodarzi, Felix Yi-Chung Feng, Alexander Marson, Dave P. Burke, Patrick D. Hsu, , Luke A. Gilbert

ProPer-seq is a cost-effective, barcode-free single-cell perturbation profiling method that enables scalable analysis of synthetic biology perturbations and reveals transcriptional control principles.

bioRxiv · Feb 5, 2026 · PreprintSynthetic Biology

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