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Build custom pystac extensions easily with pydantic

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.

L’objectif de l’atelier est d’intégrer et d’analyser des données omiques hétérogènes via des approches statistiques notamment disponibles dans les packages R (MixOmics, iClusterPlus, MOFA2).

Create STAC extensions for generic metadata with pydantic models

SHiNeMaS is a database with its web interface, dedicated to the management of the history of seed lots and related data like phenotyping, environment and cultural practices. SHiNeMaS is freely available under GNU Affero GPL Licence

Schemas of our STAC extensions implementations

Galaxy wrappers for met4j apps

Model to simulate the spread of Map within and between herds via trade movements between dairy herds. Some control measures can be applied. Model is mechanistic and data-driven, stochastic, discrete-time and individual-based.

Nextflow pipeline to extract syntenic blocks using the MCScanX program.

Shiny app for exploration and disambiguation of FROGS multi-affiliation