Published June 2, 2021 | Version v1
Dataset Open

Data and codes from Impact of ploidy and pathogen life cycle on resistance durability

  • 1. Université de Lorraine, INRAE, IAM, F-54000 Nancy, France

Description

Data and codes from Impact of ploidy and pathogen life cycle on resistance durability

Codes of the simulation model:

  • Model_resistance_durability_diploid.py
  • Model_resistance_durability_haploid.py

Codes for the data analyses:

  • Transformation_python_results_dip.py
  • Transformation_python_results_hap.py
  • Statistical_Analyses_And_Graphics.Rmd
  • Transformation_python_results_Restricted_design.Rmd

Simulation results used to build paper figures, for 3 experimental designs:

  • Random_design
  • Regular_design
  • Restricted_Design

Notes

This work was supported by grants from the French National Research Agency (ANR-18-CE32-0001, Clonix2D project; ANR-11-LABX-0002-01, Cluster of Excellence ARBRE). Méline Saubin was supported by a PhD fellowship from INRAE and the French National Research Agency (ANR-18-CE32-0001, Clonix2D project)

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Additional details

Related works

Is cited by
Preprint: 10.1101/2021.05.28.446112 (DOI)

Funding

Clonix2D – The genetic consequences of partial clonality in populations colonizing new areas ANR-18-CE32-0001
Agence Nationale de la Recherche

References

  • Peng, B. et al. (2005). "simuPOP: A forward-time population genetics simulation environment". In: Bioinformatics 21.18, pp. 3686–3687.issn: 13674803. doi:10.1093/bioinformatics/bti5