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Search results (43)

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The transcriptional repressor AEBP2 is indispensable for the epigenetic control of mimetic thymic epithelial cell differentiation and central self-tolerance induction

Wu W. et al, (2025)

Learning and teaching biological data science in the Bioconductor community.

Drnevich J. et al, (2025), PLoS Comput Biol, 21

Eleven quick tips for writing a Bioconductor package.

Soneson C. et al, (2025), PLoS Comput Biol, 21

Fibroblast specialisation across microanatomy in a single-cell atlas of healthy human Achilles tendon

Cohen C. et al, (2025)

Eleven quick tips for writing a Bioconductor package

Soneson C. et al, (2024)

Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis.

Curion F. et al, (2024), Genome Biol, 25

Correction: Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture.

Downes DJ. et al, (2023), Nat Protoc, 18

Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture.

Downes DJ. et al, (2022), Nat Protoc, 17, 445 - 475

IL-1-driven stromal-neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies.

Friedrich M. et al, (2021), Nat Med, 27, 1970 - 1981

RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected With Mycobacterium bovis Across an Experimental Time Course.

McLoughlin KE. et al, (2021), Front Vet Sci, 8

Whole-genome sequencing of a sporadic primary immunodeficiency cohort.

Thaventhiran JED. et al, (2020), Nature, 583, 90 - 95

Orchestrating single-cell analysis with Bioconductor.

Amezquita RA. et al, (2020), Nat Methods, 17, 137 - 145

Publisher Correction: Orchestrating single-cell analysis with Bioconductor.

Amezquita RA. et al, (2020), Nat Methods, 17

TreeSummarizedExperiment: a S4 class for data with hierarchical structure.

Huang R. et al, (2020), F1000Res, 9

Bi-allelic Loss-of-Function CACNA1B Mutations in Progressive Epilepsy-Dyskinesia.

Gorman KM. et al, (2019), Am J Hum Genet, 104, 948 - 956

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