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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131 to 140 of 148 Results
Readme.txt
20 janv. 2021 - Multi-agent model ALMMAS 1.5: source code
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Documentation
Where to download NetLogo
Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
14 janv. 2020
CHAPUIS, Marie-Pierre; RAYNAL, Louis; PLANTAMP, Christophe; MEYNARD, Christine N.; BLONDIN, Laurence; MARIN, Jean-Michel; ESTOUP, Arnaud, 2020, "Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."", https://doi.org/10.18167/DVN1/ZNSKGK, CIRAD Dataverse, V1
Microsatellite genotypic data and R scripts for ABC-RF analyses
Desert_Locust_Microsatellite_Dataset.txt
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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.
DivergenceTimeEstimation_ABCRF.R
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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.
header_model_choice.txt
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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)
header_parameter_estimation.txt
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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)
ModelChoice_ABCRF.R
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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.
reftable_model_choice.bin
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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)
reftable_parameter_estimation.bin
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
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)
statobs.txt
14 janv. 2020 - Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
Plain Text - 899 B - MD5: ea2573bc46678dda425406a9231ddbe3
Data
Vector of summary statistics of the observed dataset generated by the DIYABC v2.1.0 package
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