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Scripts related with database development in stacomi.

Connecteur entre dataverse et jupyterhub

Harvest and index meta data from BrAPI endpoints for data access through the plant-faidare data lookup portal (https://github.com/elixir-europe/plant-faidare).

SATLAND is an application to detect and characterize hotspots of change. It is based on Python libraries (xarray, Bfast, rasterio for back-end, Streamlit for Front-End)

SAMBA (R) est une interface pour analyser les résultats de sampling de réseaux métaboliques générés à partir de SAMBApy sous Python. Elle est composée d'une une partie comparaison (calcul de différence) et une partie visualisation graphique des résultats.

https://samba.sk8.inrae.fr/

planemo 4 SIWAA

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.

This project is the entrypoint for an Information System dedicated to manage a forest experimentation metadata catalog. It relies on a metadata standard available at URL https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/ELXRGY.

Used to manage account, policies and sources. Access reserved to insylva administrators and source managers

In frame of EVENT project, all code to build a docker image for the Caulifinder tool. It allows discovering Caulimoviridae sequences in plant genomes.

Interactive Reservoir MAnagement Risk Assessment (IRMaRA) is a R Shiny interface providing probability of failure of flood and drought objective at key locations downstream of the 4 lakes regulating the Seine River.

L'application permet de simuler la dynamique spatio-temporelle de populations de moustiques Aedes (albopictus et aegypti) dans divers environnements et la dynamique de transmission de trois arboviroses : dengue, zika, chikungunya.

Lien vers l'application : https://arbocarto-r-app.sk8.inrae.fr

select or stitch the best image for each uplot and save it in "selected_images" directory