Author

A. Ramette

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· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Organism:chicken / avian· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

F. Ronchi· 2 shared K. Schlaeppi· 2 shared M. Erb· 2 shared S. L. Leib· 2 shared W. Wasimuddin· 2 shared A. Chiaia-Hernandez· 1 shared A. Macpherson· 1 shared A. Mestrot· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersMicrobiology

F. Ronchi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Component specific responses of the microbiomes to common chemical stressors in the human food chain

W. Wasimuddin, A. Chiaia-Hernandez, C. Terrettaz, L. Thoenen, V. Caggia, P. Matteo, M. Coll-Crespi, M. Notter, M. Mukherjee, T. Chavez-Capilla, F. Ronchi, S. C. Ganal-Vonarburg, M. Grosjean, M. Bigalke, S. Spielvogel, , A. Ramette

This study examines how chemical stressors affect microbiomes across different food chain components, finding component-specific responses and shifts in microbial composition and stability.

bioRxiv · Apr 20, 2024Microbiology

Evaluation of primer pairs for microbiome profiling across a food chain from soils to humans within the One Health framework

W. Wasimuddin, K. Schlaeppi, F. Ronchi, S. L. Leib, M. Erb, A. Ramette

This study evaluates primer pairs for microbiome profiling across a food chain, finding that 515F-806R provides the highest species richness and diversity estimates.

bioRxiv · Nov 15, 2019Microbiology

A sample-to-report solution for taxonomic identification of cultured bacteria in the clinical setting based on nanopore sequencing

S. M. Neuenschwander, M. A. Terrazos Miani, H. Amlang, C. Perroulaz, P. Bittel, C. Casanova, S. Droz, J.-P. Flandrois, S. L. Leib, F. Suter-Riniker, A. Ramette

This paper develops a sample-to-report solution using nanopore sequencing and an automated pipeline to accurately identify bacterial species in clinical samples, achieving high sequence identity and resolving mixed cultures.

bioRxiv · Aug 31, 2019Microbiology