Author

M.-A. Madoui

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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Ecology· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1

Frequent Co-Authors

C. Ambroise· 2 shared A. Bezzarga· 1 shared A. Brunner· 1 shared A. Sykulski· 1 shared C. Bowler· 1 shared C. Curel· 1 shared C. Nef· 1 shared C. Nordon· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersEvolutionary Biology

C. Ambroise

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Whole-genome scanning reveals selection mechanisms in epipelagic Chaetoceros diatom populations

C. Nef, M.-A. Madoui, E. Pelletier, C. Bowler

The paper uses genome-resolved metagenomics to analyze genetic diversity in Chaetoceros diatoms, revealing selection mechanisms related to nutrient availability in polar regions.

bioRxiv · May 19, 2022 · PreprintEcology

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