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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Python Source Code - 1.2 KB - MD5: acfd75a55d7296be44e476b842408231
Code
Python script used to select randomly sequences from a fasta file. This script is used to conduct the rarefaction analysis. See details in Ben Chehida et al. (2020, Scientific Reports, DOI: 10.1038/s41598-020-71603-9).
Shell Script - 872 B - MD5: 55a14528fb89152ed013e14964f94266
Code
Bash script used to run BEAST software and reconstruct the skyline plots. See details in Ben Chehida et al. (2020, Scientific Reports, DOI: 10.1038/s41598-020-71603-9)
XML - 198.1 KB - MD5: 820c82a0bb4b3688607eaa051a8a6375
Data
Input file used in skyline_beast.sh to run the skyline plot analysis in BEAST software which estimates the variation of the effective population size through time. This file was created with BEAUti program of BEAST See details in Ben Chehida et al. (2020, Scientific Reports, DOI:...
Shell Script - 1.3 KB - MD5: a2cc3c42e514b85eb265f66c33f2a88c
Code
Bash script used to clean the raw read (fastq format) with trimmomatic. Additional information is provided in Text S1 in Ben Chehida et al. (2020, Scientific Reports, DOI: 10.1038/s41598-020-71603-9)
Tabular Data - 2.2 KB - 5 Variables, 49 Observations - UNF:6:LnVV3AfYCGr7lVjLojotCQ==
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