L’UMR CBGP – Centre de Biologie pour la Gestion des Populations – a pour vocation de comprendre les mécanismes qui régissent l’évolution de populations d'organismes importants pour l’agronomie, les forêts, la santé humaine ou la conservation de la biodiversité. Les recherches portent sur des modèles biologiques et sont développées selon six axes : origine et caractérisation de la biodiversité ; adaptation des phytophages, de leurs ennemis naturels et de leurs symbiontes ; écologie et évolution des zoonoses ; biologie, écologie et évolution des espèces envahissantes ; génomique statistique et évolutive des populations ; approches moléculaires et bioinformatiques haut débit. Nos tutelles sont l'INRAE, le CIRAD, l'IRD et l'Institut Agro-Montpellier.

UMR CBGP – Centre de Biologie pour la Gestion des Populations – aims to understand the mechanisms that govern populations of organisms that are important to agriculture, forest, human health and biodiversity conservation. Studies concern biological models and follow six lines of research: origin and characterization of biodiversity; adaptation of plant eaters, their natural enemies and symbionts; ecology and evolution of zoonoses; biology, ecology and evolution of invasive species; statistical and evolutionary population genomics; and high-throughput molecular and bioinformatics techniques. Our supervising bodies are INRAE, CIRAD, IRD and Institut Agro-Montpellier.
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Plain Text - 28,9 KB - MD5: 30a992a8f04ec623ca3e861d93b160dd
Data
Multilocus genotypes (23 microsatellites) of the 90 S. g. flaviventris individuals and the 80 S. g. gregaria individuals used in this study.
R Syntax - 4,7 KB - MD5: 3e7b54ef98562c28f976d90d3c5bf61e
Code
R script to run a single ABC-RF parameter estimation analysis using datasets simulated with the package DIYABC v2.1.0.
Plain Text - 4,0 KB - MD5: 29073f68b63bf7ce92936fe386e12f28
Data
Header of the training dataset for model choice generated by the DIYABC v2.1.0 package (also called the reference table)
Plain Text - 2,4 KB - MD5: 2d0f8bab75279d89d79e5515e9a4b978
Data
Header of the training dataset for parameter estimation generated by the DIYABC v2.1.0 package (also called the reference table)
R Syntax - 4,3 KB - MD5: d724bd294df4271a6c16fadfc40bc5bf
Code
R script to run a single ABC-RF model choice analysis using datasets simulated with the package DIYABC v2.1.0.
Unknown - 24,5 MB - MD5: a6ffedf1472df482b251c72592980f8c
Data
Example of a training dataset for model choice generated by the DIYABC v2.1.0 package (also called the reference table)
Unknown - 16,8 MB - MD5: db438beb6e7256b520b0ae753db49530
Data
Example of a training dataset for parameter estimation generated by the DIYABC v2.1.0 package (also called the reference table)
Plain Text - 899 B - MD5: ea2573bc46678dda425406a9231ddbe3
Data
Vector of summary statistics of the observed dataset generated by the DIYABC v2.1.0 package
text/nlogo - 79,6 KB - MD5: 2f0c2755bf702039cb9f3c06a7221ce3
Code
Suitable for NetLogo 6.0.4
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
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Where to download NetLogo
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