Author

Wasin Poncheewin

Wageningen University & ResearchORCID 0000-0003-2267-6872Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anne D. van DiepeningeniD· 2 shared Maria Suarez DieziD· 2 shared Peter J. SchaapiD· 2 shared Théo van der LeeiD· 2 shared Vítor A. P. Martins dos SantosiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersSystems Biology

Anne D. van DiepeningenORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintJul 26, 2022

Comparative genome-scale constraint-based metabolic modeling reveals key lifestyle features of plant-associated Pseudomonas spp.

Wasin Poncheewin, Anne D. van Diepeningen, Théo van der Lee…·Maria Suarez Diez

The paper uses metabolic modeling to compare plant-associated Pseudomonas strains and identifies metabolic differences between beneficial and pathogenic species.

1 citation

bacteria (other)metabolomics

𝕏 PostBluesky

GenomicsScientific ReportsPeer-reviewedJun 27, 2022

Classification of the plant-associated phenotype of Pseudomonas strains using genome properties and machine learning

Wasin Poncheewin, Anne D. van Diepeningen, Théo van der Lee…·Peter J. Schaap

The paper uses genome properties and machine learning to classify Pseudomonas strains as plant-beneficial or pathogenic, identifying 28 key features that distinguish these phenotypes.

20 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky