Author

Tomasz Janczyk

Benaroya 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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:mixed model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Basilin BensoniD· 2 shared Matthew C. AltmaniD· 2 shared C.R. Gates· 1 shared Catherine M. SteiniD· 1 shared Elizabeth R. VanderwalliD· 1 shared Harriet Mayanja‐KizzaiD· 1 shared Jason S. DebleyiD· 1 shared Kiana Mitchell· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCell Biology

Basilin BensonORCID

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Author profile →

2 papers

Recent·Most cited

Viral replication and interferon responses in bronchial epithelia is enhanced by Th17 cells

Weston T. Powell, Tomasz Janczyk, Patricia C. dela Cruz, Basilin Benson, Nyssa Becker Samanas, Elizabeth R. Vanderwall, C.R. Gates, Lucille M. Rich, Teal S. Hallstrand, Matthew C. Altman, Jason S. Debley

This study shows Th17 cells enhance interferon responses and viral replication in bronchial epithelial cells from asthmatic children infected with rhinovirus-16.

American Journal of Respiratory Cell and Molecular Biology · Mar 25, 2026Peer-reviewedCell Biology

kimma: flexible linear mixed effects modeling with kinship for RNA-seq data

Kimberly A. Dill‐McFarland, Kiana Mitchell, Sashank Batchu, R. Max Segnitz, Basilin Benson, Tomasz Janczyk, Madison S Cox, Harriet Mayanja‐Kizza, W. Henry Boom, Penelope H. Benchek, Catherine M. Stein, Thomas R. Hawn, Matthew C. Altman

kimma is an R package for linear mixed effects modeling of RNA-seq data, offering improved sensitivity and model complexity compared to existing pipelines.

Bioinformatics · May 1, 2023Peer-reviewedBioinformatics