Infectious Diseases and Vectors: Ecology, Genetics, Evolution and Control

The aims of the group MIVEGEC are to develop integrative and transdisciplinary research to the mechanisms that maintain, amplify and transmit pathogenic agents, along with their genetic and epigenetic determinants, in order to better understand how these systems evolve and to improve their control.
L’UMR MIVEGEC "Maladies Infectieuses et Vecteurs : Ecologie, Génétique, Evolution et Contrôle" a pour mission de comprendre, via des recherches intégratives et transdisciplinaires, les mécanismes de maintenance, d’amplification et de transmission d’agents pathogènes, leurs déterminants génétiques et non génétiques, afin de pouvoir mieux appréhender l’évolution de ces systèmes infectieux et contribuer à en améliorer le contrôle.
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Plain Text - 48.3 KB - MD5: 6dfa7aa9263273085ca75f7874c15e58
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R code for analyses & plots for Fig01 F
Plain Text - 2.9 KB - MD5: 107fbce6f3e042f0ed36308e0d042ce4
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Plain Text - 3.0 KB - MD5: 72239ce37516589c16b06b25a640b04a
Documentation
Overview of contents for files containing data
TrapNet Project(CSRS (Ivory Coast), University of Abomey-Calavi (Benin), IRD (France))
TrapNet Project logo
Apr 20, 2026
TrapNet : Mosquito trap nets to enhance malaria control. In response to the resurgence of malaria and growing resistance to insecticides, a pilot study is underway to test the effectiveness of TrapNet in Benin and Ivory Coast, an innovative insecticide-free mosquito-trapping devi...
Unknown - 1.8 KB - MD5: b52e6799cb42ab36b725fcc187a8b056
Données
Fasta file required for ViroSeek_downstream_analysis.rmd
Nextflow Script - 2.4 KB - MD5: 000890f8685ca18eac744416df40240e
Code
Modules for ViroSeek
Nextflow Script - 693 B - MD5: e8fa0db631cf655672f252ca01ef8789
Code
Modules for ViroSeek
Nextflow Script - 655 B - MD5: 76915c2d9c8fc0265abb386b301e7c73
Code
Modules for ViroSeek
Shell Script - 4.3 KB - MD5: 7d1270ccb9f41129020b74093984e1ba
Code
Script to generate simulated paired-end metagenomic samples
Python Source Code - 3.7 KB - MD5: 5b7a5150bc4f3414b6258c75ab30f952
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Script for summarising for each taxonomic assignment
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