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Statistical-Genetics / RAISS
MIT LicenseA python package to impute the SNP summary statistics from neighboring SNPs summary statistics by taking advantage of linkage desiquilibrium
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Collection of R scripts and pipelines for the PvSTATEM project.
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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)
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Cosmin SAVEANU / NMD complexes 2018 R_shiny
GNU Affero General Public License v3.0Sources for the server running at http://hub05.hosting.pasteur.fr/NMD_complexes/ Allows exploration of interactions around NMD complexes (Dehecq et al., EMBOJ 2018)
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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"
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hub / MeRIPSeq
GNU General Public License v3.0 onlyMeRIP-Seq pipeline analysis for m6a methylation site detection Author: Christophe Bécavin, Hub Bioinformatic and Biostatistic, Institut Pasteur
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MANOCCA test is based on covariance. This project implements MANOCCA, MANOVA and provides an simulation environment and an explainer.
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Asia-Pacific ICEMER cohort ran in Madang (Papua New-Guinea) in early 2020. The purpose of this repository is to centralize R scripts and developments to streamline the data extraction and analysis.
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Statistical-Genetics / JASS_suite_pipeline
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalA 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 jassUpdated -
Code and data for the article "Integrating information from historical data into epidemic forecast: Application to influenza in France" by Alessio Andronico, Juliette Paireau and Simon Cauchemez
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Simulation study to determine the impact of summary statistic imputation on a meta-analysis
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Source of the shiny server that presents results obtained by large scale double mutant yeast screens (GIM): http://hub05.hosting.pasteur.fr/GIM_interactions/
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