Author

Marynka Ulaszewska

Fondazione Edmund MachORCID 0000-0002-0929-2359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Annapaola AndolfoiD· 1 shared Denise DragoiD· 1 shared Edoardo Niccolò BelliniiD· 1 shared Ettore MoscaiD· 1 shared Fulvio MattiviiD· 1 shared Gianfranco FrigerioiD· 1 shared Justin J. J. van der HooftiD· 1 shared Lapo RenaiiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Annapaola AndolfoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 20, 2024

MargheRita: streamlining MS-DIAL output analysis and metabolite identification in R

Ettore Mosca, Marynka Ulaszewska, Zahrasadat Alavikakhki…·Annapaola Andolfo

MargheRita streamlines MS-DIAL output analysis and metabolite identification in R by providing a comprehensive pipeline for LC-MS/MS data, enhancing fragment matching accuracy with a curated spectral library.

DOI 10.1101/2024.06.20.599545

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 20, 2021

Boosting annotation in nutrimetabolomics by Feature-Based Molecular Networking: analytical and computational strategies applied to human urine samples from an untargeted LC-MS/MS based bilberry-blueberry intervention study.

Lapo Renai, Marynka Ulaszewska, Fulvio Mattivi…·Justin J. J. van der Hooft

This paper improves metabolite annotation in human urine using Feature-Based Molecular Networking and spectral libraries, identifying 65 berry-related metabolites and enhancing annotation coverage by 72%.

2 citations

humanmetabolomics

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