Author

Joanna C. Wolthuis

University Medical Center UtrechtORCID 0000-0001-9282-9518Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Jeroen de RidderiD· 2 shared Judith J M JansiD· 2 shared Saskia W. C. van MiliD· 2 shared Stefanía MagnúsdóttiriD· 2 shared Arie K. KiesiD· 1 shared Bart van der HeeiD· 1 shared Boudewijn M.T. BurgeringiD· 1 shared Edwin C.A. StigteriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Jeroen de RidderORCID

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2 papers

Recent·Most cited

Development of a metabolic signature of post-weaning diarrhoea in pigs

Joanna C. Wolthuis, Stefanía Magnúsdóttir, Edwin C.A. Stigter, Yuen Fung Tang, Judith J M Jans, M.S. Gilbert, Bart van der Hee, Pim Langhout, Walter J.J. Gerrits, Arie K. Kies, Jeroen de Ridder, Saskia W. C. van Mil

The paper develops a metabolite signature to predict post-weaning diarrhoea in pigs using mass spectrometry and machine learning, but finds no consistent pathway enrichment.

bioRxiv · Nov 17, 2025 · PreprintBioinformatics

MetaboShiny - interactive processing, analysis and annotation of direct infusion metabolomics data

Joanna C. Wolthuis, Stefanía Magnúsdóttir, Mia L. Pras‐Raves, Maryam Moshiri, Judith J M Jans, Boudewijn M.T. Burgering, Saskia W. C. van Mil, Jeroen de Ridder

MetaboShiny provides an interactive tool for analyzing and annotating direct infusion metabolomics data, demonstrating its use on lung cancer urine samples.

bioRxiv · Jun 30, 2020 · PreprintBioinformatics