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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...

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.

metagWGS is a workflow dedicated to the analysis of metagenomic data. It allows assembly, taxonomic annotation, and functional annotation of predicted genes. Since release 2.3, binning step with the possibility of cross-alignment is included. It has been developed in collaboration with several CATI BIOS4biol agents. Funded by Antiselfish Project (Labex Ecofect), ExpoMicoPig project (France Futur elevage) and SeqOccIn project (CPER - Occitanie Toulouse / FEDER), ATB_Biofilm funded by PNREST Anses, France genomique (ANR-10-INBS-09-08) and Resalab Ouest.

https://abarnabe.pages-forge.inrae.fr/slides/

Geomatic tool for landscape discretization and pesticides transfert

FAIDARE: FAIR Data-finder for Agronomic Research

It provides web services (based on the BrAPI standard) and a web interface with easy to use filters to facilitates the access to plant datasets from a federation of sources.

Présentation en ligne sur GitLab Pages

OpenFLUID framework and applications

Docs : https://optirrighive.pages.mia.inra.fr/OptirrigCORE

What is “OptirrigCORE” package ? The OptirrigCORE package in R is based on the Optirrig model. It facilitates the extraction and formatting of observation data used by the model, as well as the integration of plant, soil and yield descriptions. It supports various analytical methods, such as Ex-Post and Ex-Ante analyses, with a view to drawing up an optimised irrigation schedule based on the criteria. The package includes all the calculation tools needed to describe biophysical processes with a generalist approach. It can be used as a dependency or complement to modify and reinterpret biophysical descriptions. What’s more, it automates the modeling process, the description of biophysical processes and the analysis of results and performance, guaranteeing a reproducible approach. It also makes it easy to compile results in automated reports.

Edition 2026 de la journée SHINY::INRAE - 28 janvier 2026 https://sk8.pages-forge.inrae.fr/journee_shiny_inrae/edition_2026