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i2MassChroQ (identification & inference -- mass chromatogram quantification) is the successor of X!TandemPipeline-Java. Following a full rewrite in C++17 and integration of the MassChroQ module, i2MassChroQ features a quantitative proteomics solution

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

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...

Code and workflows for the analyses reported in “Dici: a novel DNA transposon reshaping the genome of the opportunistic yeast Diutina catenulata”

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.

Make brand new polymer chemistry definitions; Use the definitions to perform calculations in a desktop calculator-like manner; Perform sophisticated polymer sequence mass spec simulations ; Compute isotopic clusters from formulas

MineXpert (currently MineXpert3, 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.

This Shiny application visualizes the environmental niches and temporal patterns of two sturgeon species, Acipenser sturio and Acipenser oxyrinchus. It allows users to explore habitat suitability indices and compare their spatial–temporal dynamics across catchments.

https://stur-mix.sk8.inrae.fr

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.

Projet de la version V2 de l'application des ORE.

Le projet est constitué de 2 sous projet :

La partie serveur qui fournit les web services de l'application

La partie UI qui fournit une interface VueJS permettant d'interroger ces Web Service