Author

C. Ambroise

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M.-A. Madoui· 2 shared A. Bezzarga· 1 shared A. Bichat· 1 shared A. Brunner· 1 shared A. Sykulski· 1 shared C. Curel· 1 shared C. Nordon· 1 shared D. Aristizabal· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEvolutionary Biology

M.-A. Madoui

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Author profile →

3 papers

Recent·Most cited

How marine currents and environment shape plankton genomic differentiation: a mosaic view from Tara Oceans metagenomic data

R. LASO-JADART, M. O'Malley, A. Sykulski, C. Ambroise, M.-A. Madoui

This study uses Tara Oceans metagenomic data to analyze genomic differentiation in plankton across large geographic scales, finding that environmental factors like temperature and salinity drive differentiation more than taxonomy.

bioRxiv · Apr 29, 2021 · PreprintEvolutionary Biology

The first AI-based mobile application for antibiotic resistance testing

M. Pascucci, G. Royer, J. Adamek, D. Aristizabal, A. Bezzarga, L. Blanche, G. Boniface-Chang, A. Brunner, C. Curel, G. Dulac-Arnold, N. Malou, C. Nordon, V. Runge, F. Samson, E. Sebastian, , M.-A. Madoui

This paper introduces an AI-based smartphone app for antibiotic resistance testing that achieves high accuracy and reduces inter-operator variability in resource-limited settings.

bioRxiv · Jul 23, 2020 · PreprintMicrobiology

Incorporating phylogenetic information in microbiome abundance studies has no effect on detection power and FDR control

A. Bichat, C. Ambroise, J. Plassais, M. Mariadassou

This paper shows that incorporating phylogenetic or correlation-based trees in microbiome differential abundance analysis does not improve detection power or FDR control compared to the classical Benjamini-Hochberg procedure.

bioRxiv · Jan 31, 2020Microbiology