Author

C. S. Poulsen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:metagenomics· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:host-pathogen & immune response· 1 Organism:plant (other)· 1

Frequent Co-Authors

F. M. Aarestrup· 3 shared S. J. Pamp· 2 shared A. Yoshida· 1 shared C. Brinch· 1 shared C. T. Ekstroem· 1 shared C. T. Ekstrom· 1 shared P. Nejsum· 1 shared P. S. Leifsson· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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3 shared papersMicrobiology

F. M. Aarestrup

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Author profile →

4 papers

Recent·Most cited

Migratory pattern of zoonotic Toxocara cati and T. canis in experimentally infected pigs

C. S. Poulsen, A. Yoshida, T. T. Wellbrant, P. S. Leifsson, P. Skallerup, S. M. Thamsborg, P. Nejsum

This study investigates the migratory patterns of Toxocara cati and T. canis in pigs, finding both species equally infective and capable of causing neurological toxocarosis.

bioRxiv · Apr 27, 2023 · PreprintMicrobiology

Library Preparation and Sequencing Platform Introduce Bias in Metagenomic-Based Characterizations of Microbiomes

C. S. Poulsen, C. T. Ekstrom, F. M. Aarestrup, S. J. Pamp

This study shows that library preparation and sequencing platforms introduce systematic biases in metagenomic microbiome analysis, emphasizing the need for standardization.

bioRxiv · Jan 11, 2022Microbiology

Standard Sample Storage Conditions Impact on Inferred Microbiome Composition and Antimicrobial Resistance Patterns

C. S. Poulsen, R. S. Kaas, F. M. Aarestrup, S. J. Pamp

This study evaluates how storage conditions affect microbiome composition and antimicrobial resistance in metagenomics data, finding significant effects from temperature, time, and freeze-thaw cycles.

bioRxiv · May 24, 2021Microbiology

Feature matrix normalization, transformation and calculation of beta-diversity in metagenomics: Theoretical and applied perspectives on your decisions

C. S. Poulsen, F. M. Aarestrup, C. Brinch, C. T. Ekstroem

The paper discusses normalization, transformation, and beta-diversity calculation methods in metagenomics and provides a framework for evaluating their impact on data analysis.

bioRxiv · Nov 29, 2019 · PreprintMicrobiology