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mixKernel is a multiple kernel framework that allows to integrate multiple datasets of various types into a single analysis. The package is published on CRAN: https://cran.r-project.org/package=mixKernel

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.

A demo-genetic individual-based model for Atlantic salmon populations

Replication repository for the article "A comprehensive review and benchmark of differential analysis tools for Hi-C data"

Transcriptomic analysis, microarray and rnaseq, used in IRHS unit

Series of tools to extract and plot MuSICA outputs

Translate specially formatted xlsx (cf. 'fpath') to DMP in .md format.

Some scripts for the methylation analysis of the ChickStress project.

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.

Some scripts for the methylation analysis of the ChickStress project.

A simple R package to create specific license waivers to add in Dataverse