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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

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

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.

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.

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.

Docs : https://optirrighive.pages-forge.inrae.fr/OptirrigCORE.api/dev/ Swagger : https://api.optirrig.g-eau.fr/__docs__/

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.