Author

D. M. de Vienne

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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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

E. Tannier· 3 shared T. Tricou· 3 shared A. Comte· 1 shared A. Siberchicot· 1 shared F. Delsuc· 1 shared J. Joseph· 1 shared R. Allio· 1 shared S. Dray· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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3 shared papersEvolutionary Biology

E. Tannier

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Author profile →

3 papers

Recent·Most cited

PhylteR: efficient identification of outlier sequences in phylogenomic datasets

A. Comte, T. Tricou, E. Tannier, J. Joseph, A. Siberchicot, S. Penel, R. Allio, F. Delsuc, S. Dray, D. M. de Vienne

PhylteR identifies outlier sequences in phylogenomic datasets using DISTATIS, improving gene tree concordance with species trees.

bioRxiv · Feb 2, 2023Evolutionary Biology

Ghost lineages can invalidate or even reverse findings regarding gene flow

T. Tricou, E. Tannier, D. M. de Vienne

The paper shows that ignoring ghost lineages can lead to incorrect conclusions about gene flow in evolutionary studies.

bioRxiv · Jan 6, 2022Evolutionary Biology

Ghost lineages highly influence the interpretation of introgression tests

T. Tricou, E. Tannier, D. M. de Vienne

The paper shows that ghost lineages can lead to incorrect identification of gene flow donors and recipients in introgression tests using simulated data.

bioRxiv · Mar 30, 2021Evolutionary Biology