Author

S. Raine Cedric

Ghent UniversityORCID 0000-0002-1952-0810Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Femke De GraeveiD· 1 shared Floris VoorthuijzeniD· 1 shared Galle Jeroen· 1 shared Louis CoussementiD· 1 shared Tim De MeyeriD· 1 shared Tine Goovaerts· 1 shared Van Steenbergen Laure· 1 shared Wim Van CriekingeiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Femke De GraeveORCID

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1 paper

Recent·Most cited

MAGE enables population level RNAseq driven genotyping and (differential) allelic divergence detection in healthy kidney and carcinoma

S. Raine Cedric, Tine Goovaerts, Louis Coussement, Femke De Graeve, Floris Voorthuijzen, Van Steenbergen Laure, Galle Jeroen, Wim Van Criekinge, Tim De Meyer

The paper develops MAGE, a tool for RNAseq-based genotyping and detection of allelic divergence in kidney tissues, identifying non-cis-eQTL ASE and aberrations in carcinoma.

bioRxiv · Sep 6, 2022 · PreprintBioinformatics