Author

C. Brinch

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· 2

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

F. M. Aarestrup· 2 shared A. Battisti· 1 shared A. Becsei· 1 shared A. De Cesare· 1 shared A. Fuschi· 1 shared A. Merlotti· 1 shared C. M. E. Schapendonk· 1 shared C. Oliveri· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMicrobiology

F. M. Aarestrup

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2 papers

Recent·Most cited

Time-series sewage metagenomics can separate the seasonal, human-derived and environmental microbial communities, holding promise for source-attributed surveillance

A. Becsei, A. Fuschi, S. Otani, R. Kant, I. Weinstein, P. Alba, J. Steger, D. Visontai, C. Brinch, M. de Graaf, C. M. E. Schapendonk, A. Battisti, A. De Cesare, C. Oliveri, F. Troja, , P. Munk

This study uses sewage metagenomics to distinguish seasonal, human-derived, and environmental microbial communities, offering potential for improved AMR surveillance.

bioRxiv · May 30, 2024 · PreprintMicrobiology

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