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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111 to 117 of 117 Results
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
ALMMAS 1.4.nlogo
25 juil. 2019 - Multi-agent model ALMMAS 1.4: source code
text/nlogo - 79,6 KB - MD5: 2f0c2755bf702039cb9f3c06a7221ce3
Code
Suitable for NetLogo 6.0.4
Readme.txt
25 juil. 2019 - Multi-agent model ALMMAS 1.4: source code
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Documentation
Where to download NetLogo
DesertLocustSMELLSdataset.txt
13 nov. 2018 - Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"
Plain Text - 18,4 MB - MD5: 38018d9e4940c5a076c2100dfb75cfe6
Data
ALMMAS 1.0.2.nlogo
15 oct. 2018 - Multi-agent model ALMMAS 1.0.2: source code
text/nlogo - 55,1 KB - MD5: 487745cef34bea8cb5ef57d8c530c4ed
Code
Suitable for Nlogo 6.0.4. With an upgrade of the info tab display
Readme.txt
11 juil. 2018 - Multi-agent model ALMMAS 1.0.2: source code
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Documentation
Where to download NetLogo
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