Research Unit "Host-Vector-Parasite-Environment Interactions in Neglected Tropical Diseases due to Trypanosomatids"

(in French : Unité Mixte de Recherche "Interactions Hôte-Vecteur-Parasite-Environnement dans les maladies tropicales négligées dues aux Trypanosomatidae")

INTERTRYP is a joint research unit (IRD/CIRAD) based in Montpellier, dedicated to the control of human and animal diseases caused by Trypanosomatids. INTERTRYP is a Collaborating Center of the WHO for the Human African Trypanosomiasis. The Cirad via INTERTRYP is the Reference Laboratory of the OIE on the "Animal African Trypanosomoses".

Scientific project. With its partners in Europe and in the South countries, INTERTRYP conducts an integrated approach of the different actors of the trypanosomatidae cycle (human and animal host/parasite/vector/symbiont bacteria/ environment/climate) and their interactions in order to diagnose, analyze, develop and make available methods of control and elimination of these diseases to partners in the South and neglected populations.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

51 to 60 of 80 Results
lociSE.txt.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 36 B - MD5: ff2f4f4315938b6e38adfc618209174a
List of the Single End markers used in the mbctools test data.
metadata.csv.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 366 B - MD5: e4cd2e6385a6d52ab3251a45d8663e7d
Metadata associated with each samples of the test data (Sample, Capture date, Sampling, location, Developmental stage, Sex Species, Latitude, Longitude)
outputs.tar.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 22.2 KB - MD5: 156c6e3b9a823a4050537032aa3973da
Output of the mbctools pipeline. Log files and parameters used.
refs.tar.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 6.1 KB - MD5: 519868512efc372dfdb5b26c82f9a49e
Reference sequences used to classify the given sequences into their respective markers.
results_by_locus.tar.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 57.4 KB - MD5: bc0523cb28578e7a67b72d961b2092e7
Pipeline output, results by locus
RJSU6DXE013-Alignment.txt.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 88.8 KB - MD5: b33119454d0bc0a87b0ad6b1de5e40fe
Blast result, input for metaXplor
samples.txt.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 104 B - MD5: 695aa82b79975f82ded83af665659247
List file with the name of the analysed samples.
scripts.tar.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 11.7 KB - MD5: f4b7789ad6ae48e3ce19b336974b9d50
Used command line to process the test data (pipeline output).
tmp_files.tar.gz
Jan 11, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 258.7 MB - MD5: ca56ac6f52c700a8ac80dbf345b1565c
Temporary files, pipeline output.
Application of biomolecular techniques on tsetse fly puparia for species identification
Oct 20, 2023
Gimonneau, Geoffrey; Robert Eustache, Hounyèmè; Myra, Quartey; Ernest, Salou; Sophie,Ravel; Alain Boulangé, 2023, "Application of biomolecular techniques on tsetse fly puparia for species identification", https://doi.org/10.18167/DVN1/IMKEEM, CIRAD Dataverse
Experimental results and script for statistical analyses related to the paper entitled "Application of biomolecular techniques on tsetse fly puparia for species identification". The study investigated whether a reliable molecular identification of tsetse species can be made from...
This dataset is harvested from another repository. The link will take you directly to the source of the data.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.