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python

Génération de fichiers .properties de traduction pour Dataverse à partir de fichiers de métadonnées .tsv"

Collection de scripts pour le dépouillement semi-automatique d'essais mécaniques réalisés au PIAF.

Retranscription d'audio en txt

XyDyS (Xylogenesis Dynamics Simulator) is a software for interactive exploration of computational models of wood formation.

https://lindangulopez.streamlit.app/

Gitlab Pages: https://egfv.pages-forge.inrae.fr/bioinfo/jbrowse-batch-submission

Contribution à la réalisation du "pilote" INRAE, dans le cadre du programme européen GraspOS

Ce dépôt donne à voir les résultats de l'expérimentation menée de façon transversale entre les pôles SENS, ASTRA, Num4Sci pour l'identification et la classification automatique des publications appartenant au domaine des Sciences et Recherches Participatives.

Cette expérimentation avait pour but de tester les bénéfices potentiels de l'utilisation de modèles de langues, LLM, pour l'automatisation de la catégorisation de publications scientifiques.

Interekt (INTERactive Exploration of Kinematics and Tropisms) is a user-friendly software for tracking and modeling plant motions.

This repository contains a set of script for the acquisition and processing of thermal and visible images from FLIR A655sc and Daheng MER2 industrial camera as part of the LEAFPACE ERC project. All material in this repository is under the GNU GPL v3 and CC BY-SA licence. Please cite accordingly

Python bindings for the evalhyd utility

Python package to download the tile table with urls of LIDAR-HD point cloud, DTM, DSM or DHM.

Aide à la configuration et à l'alimentation en données d'un système d'information construit sur la norme OGC Sensorthings API.

SETIER² (Capteurs et centrales d'acquisition low-tech pour les eaux résiduaires) est un projet de recherche open hardware Le projet SETIER² vise à démocratiser la surveillance de la quantité et qualité des eaux usées en développant des solutions de mesure accessibles, fiables et open source. SETIER² propose des alternatives DIY

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)

This repository contains the python code of the Marked-Release-Recapture simulator.

Single-cell transcriptomic (SCT) analysis is essential for resolving cellular heterogeneity and uncovering the molecular foundations of development, physiology, and environmental responses. Despite its increasing importance, robust, reproducible, and broadly applicable SCT analytical tools remain largely restricted to well-annotated animal systems. This limitation poses significant challenges for biologists working on non-model species and poorly characterized tissues, where gene annotation is sparse and computational expertise is often limited.

We developed a stable, end-to-end SCT analysis pipeline designed to be accessible to biologists with little training in bioinformatics and applicable to species and tissues with limited genomic annotation. Built on the Seurat framework and complemented with additional tools, the pipeline supports any organism by automatically generating R-compatible annotation packages from basic genome files. It integrates standardized workflows for data preprocessing, quality control, clustering, biomarker identification, and gene set enrichment analysis within a fixed Snakemake framework, ensuring high reproducibility. By minimizing coding requirements, the pipeline enables rigorous, biologically informed SCT analyses across diverse experimental systems.