Author

Richard G. H. Immink

Wageningen University & ResearchORCID 0000-0002-0182-4138Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aalt D. J. van DijkiD· 2 shared Dick de RidderiD· 2 shared Chunlian JiniD· 1 shared Feng LiiD· 1 shared G. Wilma van EsseiD· 1 shared Haojing ShaoiD· 1 shared Jihua WangiD· 1 shared Klaus OldachiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

Aalt D. J. van DijkORCID

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3 papers

Recent·Most cited

An integrative single-cell and spatial transcriptomics atlas highlights candidate regulatory factors in the development of gerbera capitulum

Yuan Gao, Feng Li, Chunlian Jin, Dick de Ridder, Richard G. H. Immink, Y Sun, Pinli Hu, Yinzhu Cao, Haojing Shao, Aalt D. J. van Dijk, Jihua Wang

The paper develops an integrative single-cell and spatial transcriptomics atlas of Gerbera capitulum development, identifying candidate regulatory factors like GAGL12 involved in vasculature development.

bioRxiv · Jul 14, 2026 · PreprintPlant Biology

VRS5 (HvTB1) binds to the promoter of tillering and floral homeotic genes to regulate their expression

Ton Winkelmolen, Pierangela E Colleoni, Matthew Moscou, Parastoo Hoseinzadeh, Klaus Oldach, Ralf‐Christian Schmidt, Richard G. H. Immink, G. Wilma van Esse

This study identifies VRS5 targets by combining transcriptome analysis and DAP-sequencing, revealing its role in regulating tillering and floral genes in barley.

PLANT PHYSIOLOGY · Jul 17, 2025Peer-reviewedPlant Biology

Improving intermolecular contact prediction through protein-protein interaction prediction using coevolutionary analysis with expectation-maximization

Miguel Correa Marrero, Richard G. H. Immink, Dick de Ridder, Aalt D. J. van Dijk

The paper introduces Ouroboros, an algorithm that improves intermolecular contact prediction by reducing noise in protein-protein interaction analysis using coevolutionary analysis with expectation-maximization.

Bioinformatics · Nov 5, 2018Peer-reviewedBioinformatics