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Individual-based model of P. vivax transmission

Git repository to host The PvSeroTAT RShiny app. This app provides a user-friendly interface to apply classification algorithms to detect recent infections by Plasmodium vivax, as detailed in the recent paper by Longley et al. (https://doi.org/10.1038/s41591-020-0841-4)

This repository is tied to project #17289 submitted by Prof. Anna-Bella Failloux. It will host all the developments around that project to help replicate the results from the article.

Source of the shiny server that presents results obtained by large scale double mutant yeast screens (GIM): http://hub05.hosting.pasteur.fr/GIM_interactions/

A python package to impute the SNP summary statistics from neighboring SNPs summary statistics by taking advantage of linkage desiquilibrium

SHAMAN is a SHiny application for Metagenomic ANalysis including the normalization, the differential analysis and mutiple visualization.

Pipeline to run CMS in large-scale analyses

Keeping R and Python specific snippets