Author

Brian Kang

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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Molecular Biology· 1 Neuroscience· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Aaron Lou· 1 shared Alexander PloßiD· 1 shared Alexis BrakeiD· 1 shared Amy N. NelsoniD· 1 shared Andrew GuoiD· 1 shared Armin W. ThomasiD· 1 shared Ashley Adanna LewisiD· 1 shared Brian HieiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperSynthetic Biology

Aaron Lou

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Author profile →

3 papers

Recent·Most cited

Molecular pathology of acute spinal cord injury in middle-aged mice

Corey Fehlberg, Danny John, Brian Kang, James S. Choi, Susana R. Cerqueira, Alexis Brake, Jae K. Lee

This study compares transcriptomic and histopathological outcomes in young and middle-aged mice after spinal cord injury, finding similar recovery but differences in cell subpopulations.

Journal of Neuroinflammation · Jul 13, 2025Peer-reviewedNeuroscience

Sequence modeling and design from molecular to genome scale with Evo

Eric Nguyen, Michael Poli, Matthew G. Durrant, Brian Kang, Dhruva Katrekar, David B. Li, Liam J. Bartie, Armin W. Thomas, Samuel H. King, Garyk Brixi, Jeremy Sullivan, Madelena Y. Ng, Ashley Adanna Lewis, Aaron Lou, Stefano Ermon, , Brian Hie

7B-parameter convolution-attention DNA model with 131 kb context, trained on prokaryotic genomes, performs zero-shot fitness and essentiality prediction and generates Cas loci, transposons, and 650 kb sequences.

Science · Nov 14, 2024Peer-reviewedSynthetic Biology✦ In-depth digest

Highly multiplexed mRNA quantitation with CRISPR-Cas13

Brian Kang, Jiayu Zhang, Michael P. Schwoerer, Amy N. Nelson, Emily Schoeman, Andrew Guo, Alexander Ploß, Cameron Myhrvold

This paper introduces qCARMEN, a CRISPR-Cas13-based RNA quantitation method that enables high-throughput, cost-effective analysis of over 4,500 gene-sample pairs, with applications in gene regulation and infection studies.

bioRxiv · Aug 16, 2023 · PreprintMolecular Biology