GitLab

Organisation d'un bootcamp autour de l'intégration et la visualisation de données avec Neo4J, adossé en amont d'une formation Neo4J en ligne.

Site web : https://work4graph.pages.mia.inra.fr/bootcamp-neo4j-2022/

DataDiscovery aims at providing researchers a simple and fast access to relevant biological data using specific keywords and easy to use filters.

This tool is expected to be easily customizable for specific filters, environments, or data schemas.

Connecteur entre dataverse et jupyterhub

Docker image with Intel Fortran Compiler (and some other dev tools).

Hosts the different implementation of EDA model

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.

Formation et tp SLURM pour la FCC 2022 à Montpellier

Some templates useful for Gitlab CI Yaml scripts.

https://bios4biol.pages.mia.inra.fr/Help4MultiQC

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

MassChroQ (Mass Chromatogram Quantification) is a powerfull and versatile software that performs retention time alignment, XIC extraction, peak detection and quantification on data obtained from Liquid Chromatography-Mass Spectrometry techniques.

metagWGS is a workflow dedicated to the analysis of metagenomic data. It allows assembly, taxonomic annotation, and functional annotation of predicted genes. 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).

Library to manage in Fortran machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data.