Skip to main content
ARS Home » Pacific West Area » Corvallis, Oregon » Horticultural Crops Research » Research » Publications at this Location » Publication #335480

Research Project: Exotic and Emerging Plant Diseases of Horticultural Crops

Location: Horticultural Crops Research

Title: Towards an integrated ecosystem of R packages for the analysis of population genetic data

Author
item Paradis, Emmanuel - University Of Montpellier
item Gosselin, Thierry - University Of Laval
item Grunwald, Niklaus - Nik
item Jombart, Thibaut - Imperial College
item Manel, Stephanie - Institut National De La Recherche Agronomique (INRA)
item Lapp, Hilmar - Duke University

Submitted to: Molecular Ecology Resources
Publication Type: Review Article
Publication Acceptance Date: 11/8/2016
Publication Date: 12/16/2016
Citation: Paradis, E., Gosselin, T., Grunwald, N.J., Jombart, T., Manel, S., Lapp, H. 2016. Towards an integrated ecosystem of R packages for the analysis of population genetic data. Molecular Ecology Resources. 17(1):1-4. doi:10.1111/1755-0998.12636.

Interpretive Summary: Computer programs have early on taken a central place in the analysis of population genetic data. The continuous increase in amount and diversity of data, together with the emergence of new pressing questions related to the adaptation of populations of plants and animals in the face of global change, point to the crucial need of a more unified computing environment. We review here recent trends in development of R to fill this role, provide a summary of the contributions reported in this special issue, and point to challenges ahead.

Technical Abstract: Computer programs have early on taken a central place in the analysis of population genetic data. The continuous increase in amount and diversity of data, together with the emergence of new pressing questions related to the adaptation of populations of plants and animals in the face of global change, point to the crucial need of a more unified computing environment. We review here recent trends in development of R to fill this role, provide a summary of the contributions reported in this special issue, and point to challenges ahead.