Explore projects

panREPET is a pipeline detecting shared Transposable Element (TE) insertions among a pangenome. It takes in charge multiple de novo whole-genome assemblies of the same species. It compares TE copies between each pair of genomes then identifies TE copies shared by a group of individuals.

panTEannot serially annotates transposable elements from multiple genomes using a common reference library. The annotation is a light version of TEannot from REPET package. These annotations can be used as input for the panREPET tool.

PAPPSOms++ is a comprehensive C++ library including useful functions to handle mass spectrometric data, either in a proteomics setting or for data visualization. Abstractions include peptides, proteins, isotopic clusters, mass/drift spectra...

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

MineXpert2 (of the http://www.msxpertsuite.org software collection) is a desktop-oriented program that allows one to visualize mass spectrometric data in their full MS^n depth. Sophisticated mouse-driven mass data integrations are easily performed. It is the continuation of mineXpert2, ported to the rewrittent libXpertMass and libXpertMassGui libraries.

Le portail de données phénologiques du réseau TEMPO permet la recherche et le téléchargement de données issues de différentes sources ouvertes ou soumises à autorisation.

A package build on top of airGRiwrm containing helper functions for pre-processing data and vignettes with a complete example of an integrated hydrological model setup from scratch and publicly available data.

RADIS - Retrieve Agronomic Data in a Sector, R package support : https://umr-g-eau.pages-forge.inrae.fr/radis

The radis package aims to facilitate the extraction of environmental data from various cartographic or spatial sources or APIs. It allows for the retrieval of this information using specific spatial shape. This package also formats the extracted data in a way that makes it easily exploitable for further analysis.