Author

Lucie Tamisier

Primary ORCID profile (0000-0002-9231-2997 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Lucie TamisieriD2 papers · University of Liège

Biology Disciplines

Click to filter author papers

Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Assay:metagenomics· 2 Organism:mouse· 2 Organism:rat· 2 Research Focus:ecology & biodiversity· 1 Organism:zebrafish· 1

Frequent Co-Authors

Carine BrouatiD· 2 shared Nathalie CharbonneliD· 2 shared A. Loiseau· 1 shared Alexandre Dehne-Garcia· 1 shared Aliou Sow· 1 shared Ambroise DaleckyiD· 1 shared Anne LoiseauiD· 1 shared C. Tatard· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

Carine BrouatORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Biological invasions in rodent communities: from ecological interactions to zoonotic bacterial infection issues

Christophe Diagne, M. Galan, Lucie Tamisier, Jonathan d’Ambrosio, Ambroise Dalecky, Khalilou Bâ, Mamadou Kane, Youssoupha Niang, Mamoudou Diallo, Aliou Sow, C. Tatard, A. Loiseau, O. Fossati-Gaschignard, Mbacké Sembène, Jean-François Cosson, , Carine Brouat

The paper investigates how zoonotic bacterial communities in invasive rodents affect invasion success and disease dynamics in Senegal.

bioRxiv · Feb 14, 2017 · PreprintEcology

16S rRNA amplicon sequencing for epidemiological surveys of bacteria in wildlife: the importance of cleaning post-sequencing data before estimating positivity, prevalence and co-infection

Maxime Galan, Maria Razzauti, Emilie Bard, Maria Bernard, Carine Brouat, Nathalie Charbonnel, Alexandre Dehne-Garcia, Anne Loiseau, Caroline Tatard, Lucie Tamisier, Muriel Vayssier-Taussat, Helene Vignes, Jean Francois Cosson

This paper describes a data cleaning procedure for 16S rRNA amplicon sequencing to accurately estimate bacterial positivity, prevalence, and coinfection in wildlife, using rodent samples from Senegal.

bioRxiv · Jun 19, 2016Microbiology