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shinySbm is a package containing a shiny application. This application is build for network analysis based on the sbm package made by Chiquet J, Donnet S and Barbillon P (2023) CRAN. It allow to apply and explore the outputs of a Stochastic Block Model. It is useful if you want to analyse your data (could be adjacency matrix or edges list) without R language knowledge or to learn the basic lines of the sbm package.

Landscape Epidemiology and Evolution R package

Docs

CRAN

Shiny app || Shiny Multi app

Aide à la configuration et à l'alimentation en données d'un système d'information construit sur la norme OGC Sensorthings API.

Resources I would like to share

Resources I would like to share

phd thesis obsidian vault for versioning and cloud backup

GWT experiments: minimum and basic dependencies to run on Tomcat along with code quality checkers.

GroupingProtein does filtering, protein inference and grouping of mass MS/MS identification result (thousands of samples, high resolution mass spectrometers)

Repository code for the article: Neuvial Pierre, Randriamihamison Nathanaël, Chavent Marie, Foissac Sylvain, and Vialaneix Nathalie (2023) A two-sample tree-based test for hierarchically organized genomic signals. Journal of the Royal Statistical Society, Series C, 73(3), 774–795. https://dx.doi.org/10.1093/jrsssc/qlae011

Scripts for the analysis described in the paper "Major reorganization of chromosome conformation during muscle development in pig" (Marti-Marimon et al, 2021).

http://dx.doi.org/10.3389/fgene.2021.748239

This repository contains various sources for INRAE documents in LaTeX:

Beamer template for INRAE presentation. This is an unofficial template, inspired by the official ppt presentation template, provided as is and without any guarantee. Images remain the property of INRAE.

CSS files. They include several unofficial templates, without the original comment and inspired by CSS report files (évaluations et annexes).