Explore projects

Nextflow pipeline to extract syntenic blocks using the MCScanX program.

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

FrenchCropUsage is a thesaurus of types of crops, organized according to their destination (direct human food, animal feed, food industry, etc) and the type of culture system (field crop, market gardening, etc.).

R script to compute trees cartesian coordinates from field measures in polar coordinates.

ViSEAGO: Easier data mining of biological functions organized into clusters using Gene Ontology and semantic similarity. Visualization, Semantic similarity and Enrichment Analysis of Gene Ontology.

https://umr-astre.pages.mia.inra.fr/sit-methods/

PatHways lOngitudianal and diffErential aNanlysis in metabolomICS (PHOENICS). Perform differential analysis of metabolic pathways based on longitudinal metabolomics data.

AdducTrackR is an R package designed to compute all possible peptide oligomers from the exact masses of proteinogenic amino acids, for any specified degree of oligomerization. It supports in silico modeling of peptide-polyphenol interactions to assist in the annotation of high-resolution mass spectrometry data.

DRAP is a De novo Rna Assembly Pipeline allowing to clean and filter RNA-seq De novo assemblers results to get the most compact and complete set of transcripts.

Supports pour la formation shiny - Plateforme de Biostatistique – Génopole Toulouse Midi-Pyrénées

Implementation of the FAO CropWat model in an R package

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

What is “OptirrigCORE.api” package ?

OptirrigCORE.api is a small R package that turns the core functions of OptirrigCORE into a web service. Built on top of Plumber, it makes it possible to start projects, load configurations, prepare simulation inputs, run irrigation models and retrieve results—all over HTTP instead of inside an R session.

Structural Variation detection using SNiP genotyping data in R