Author response of: SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data. Round#3

A recommendation of: Mathieu Uhl, Paul Bunel, Miguel de Navascués, Simon Boitard, Bertrand Servin SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data https://doi.org/10.1101/2024.11.06.622284

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Publication Details

Journal
Peer Community In Mathematical and Computational Biology
Published
2025-10-02
DOI
https://doi.org/10.24072/pci.mcb.100406.ar3
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
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article

Author response of: SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data. Round#3

Miguel Navascués, Simon Boitard, Bertrand Servin, Mathieu Uhl et al.
Peer Community In Mathematical and Computational Biology
Evolution and Genetic Dynamics
article

Author response of: SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data. Round#3

Miguel Navascués, Simon Boitard, Bertrand Servin, Mathieu Uhl, Paul Bunel
article en

Abstract

A recommendation of: Mathieu Uhl, Paul Bunel, Miguel de Navascués, Simon Boitard, Bertrand Servin SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data https://doi.org/10.1101/2024.11.06.622284

Peer Community In Mathematical and Computational Biology
Openalex Percentile: Top 68%
Evolution and Genetic Dynamics
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