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coGSEA

Pipeline to run CMS in large-scale analyses

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

Repository containing scripts and data for the paper "Hozé et al., Lancet Public Health, Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study"

coGSEA with the SetRank Method

Shiny app for the analysis of single cell data

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)

A nextflow pipeline to analyze GWAS Summary Statistics with JASS. The pipeline execute:

clean and harmonize data with jass_preprocessing if specified impute data with RAISS create input data for JASS analyse group of trait with jass

MANOCCA test is based on covariance. This project implements MANOCCA, MANOVA and provides an simulation environment and an explainer.

Simulation study to determine the impact of summary statistic imputation on a meta-analysis

Collection of R scripts and pipelines for the PvSTATEM project.