Author

Mathias Kuhring

Max Delbrück CenterORCID 0000-0002-3287-0313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:metabolomics· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Dieter BeuleiD· 2 shared Jennifer KirwaniD· 2 shared Agata Anna Bielecka· 1 shared Alina Eisenberger· 1 shared Andreas NitscheiD· 1 shared Andrej ManteiiD· 1 shared Bastian OpitziD· 1 shared Belén Millet Pascual-LeoneiD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Dieter BeuleORCID

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Author profile →

4 papers

Recent·Most cited

BioinformaticsGigaSciencePeer-reviewedDec 28, 2022

SODAR: managing multi-omics study data and metadata

Mikko Nieminen, Oliver Stolpe, Mathias Kuhring…·Manuel Holtgrewe

SODAR is a software package that manages multi-omics study data and metadata using a web interface and APIs, supporting the ISA-Tab format and iRODS storage.

5 citations

statistical modeldatabase / resource

𝕏 PostBluesky

Systems BiologybioRxivPreprintDec 2, 2022

Gut microbiota dysbiosis is associated with altered tryptophan metabolism and dysregulated inflammatory response in severe COVID-19

Morgan Essex, Belén Millet Pascual-Leone, Ulrike Löber…·Bastian Opitz

This study links gut microbiota dysbiosis and altered tryptophan metabolism to increased inflammation in severe COVID-19 patients.

1 citation

humanmetagenomics

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BioinformaticsAnalytical ChemistryPeer-reviewedJun 30, 2020

Concepts and Software Package for Efficient Quality Control in Targeted Metabolomics Studies - MeTaQuaC

Mathias Kuhring, Alina Eisenberger, Vanessa Schmidt…·Dieter Beule

The paper introduces MeTaQuaC, an open-source R package for quality control in targeted metabolomics, improving data reliability through systematic error detection and visualization.

38 citations

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsJournal of Proteome ResearchPeer-reviewedMay 4, 2020

TaxIt: An iterative and automated computational pipeline for untargeted strain-level identification using MS/MS spectra from pathogenic samples

Mathias Kuhring, Joerg Doellinger, Andreas Nitsche…·Bernhard Y. Renard

TaxIt is an iterative pipeline for strain-level classification using MS/MS spectra, improving accuracy over non-iterative methods by incorporating strain data and abundance weighting.

18 citations

bacteria (other)virus

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