Author

S. Boitard

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· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Assay:whole-genome sequencing· 3 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1

Frequent Co-Authors

L. Chikhi· 2 shared O. Mazet· 2 shared A. Arredondo Soto· 1 shared B. Mourato· 1 shared C. Nous· 1 shared F. Austerlitz· 1 shared F. Jay· 1 shared K. Nguyen· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersEvolutionary Biology

L. Chikhi

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4 papers

Recent·Most cited

Predicting species invasiveness with genomic data: is Genomic Offset related to establishment probability?

L. Camus, S. Boitard, M. Gautier

This study evaluates Genomic Offset (GO) as a predictor of establishment probability in invasive species using simulations and empirical data from Bactrocera tryoni.

bioRxiv · Feb 20, 2024Evolutionary Biology

Inferring number of populations and changes in connectivity under the n-island model

A. Arredondo Soto, B. Mourato, K. Nguyen, S. Boitard, W. R. Rodriguez Valcarce, C. Nous, O. Mazet, L. Chikhi

The paper infers population structure and connectivity changes using the n-island model and IICR curves from PSMC data, finding ancient human population structure.

bioRxiv · Sep 3, 2020Evolutionary Biology

An ABC method for whole-genome sequence data: inferring paleolithic and neolithic human expansions

F. Jay, S. Boitard, F. Austerlitz

The paper develops an ABC method to infer past human population expansions using whole-genome sequence data, finding a bottleneck followed by Paleolithic and Neolithic expansions best fits Eurasian populations.

bioRxiv · Sep 17, 2018Evolutionary Biology

The IICR and the Non-Stationary Structured Coalescent: demographic inference with arbitrary changes in population structure

W. R. Rodriguez, O. Mazet, S. Grusea, S. Boitard, L. Chikhi

The paper introduces the Non-Stationary Structured Coalescent framework to infer demographic history by accounting for changes in population structure and gene flow, applying it to human and Neanderthal genomic data.

bioRxiv · Jun 7, 2018Evolutionary Biology