Author

Sven Kjellström

Lund UniversityORCID 0000-0003-4646-5279Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Artur SchmidtcheniD· 2 shared Erik HartmaniD· 2 shared Aaron M. ScottiD· 1 shared Congyu LuoiD· 1 shared Fredrik Forsberg· 1 shared Jitka PetrlováiD· 1 shared Johan A. MalmströmiD· 1 shared Manoj PuthiaiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Artur SchmidtchenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 28, 2023

Community-based peptidomic clustering reveals pathogen-specific proteolytic signatures in wounds

Erik Hartman, Fredrik Forsberg, Sven Kjellström…·Artur Schmidtchen

The paper develops a computational workflow to cluster peptides in peptidomic data, revealing pathogen-specific proteolytic signatures in wound fluids.

DOI 10.1101/2023.12.28.573527

humanmetagenomics

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BioinformaticsFrontiers in BioinformaticsPeer-reviewedAug 25, 2021

Peptimetric: Quantifying and visualizing differences in peptidomic data

Erik Hartman, Simon Mahdavi, Sven Kjellström, Artur Schmidtchen

Peptimetric is a web tool for analyzing peptidomic data, enabling dynamic comparison of peptides across samples to identify differences.

1 citation

proteomicsexperimental assay

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