Author

Kristina A. Thomsson

University of GothenburgORCID 0000-0001-9595-8841Unclaimed 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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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Daniel BojariD· 2 shared James UrbaniD· 2 shared Callum M. IvesiD· 1 shared Chunsheng JiniD· 1 shared Elisa FaddaiD· 1 shared Luc ThomèsiD· 1 shared Niclas G. KarlssoniD· 1 shared Roman JoeresiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Daniel BojarORCID

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2 papers

Recent·Most cited

BioinformaticsAnalytical and Bioanalytical ChemistryPeer-reviewedAug 24, 2024

Navigating the Maze of Mass Spectra: A Machine-Learning Guide to Identifying Diagnostic Ions in O-Glycan Analysis

James Urban, Roman Joeres, Luc Thomès…·Daniel Bojar

This paper develops a machine learning workflow to identify generalizable diagnostic ions for O-glycan isomer differentiation using a curated dataset of 237,000 spectra.

3 citations

metagenomicsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsNature MethodsPeer-reviewedJul 1, 2024

Predicting glycan structure from tandem mass spectrometry via deep learning

James Urban, Chunsheng Jin, Kristina A. Thomsson…·Daniel Bojar

The paper introduces CandyCrunch, a deep learning model that predicts glycan structures from tandem mass spectrometry data with high accuracy, enabling high-throughput glycomics.

80 citationstop 1%

metagenomicsdeep learning

𝕏 PostBluesky