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Example GitBook site using GitLab Pages: https://pages.gitlab.io/gitbook

Atelier développement d’une application interactive Shiny lors du hackathon inter-CATI omics 2020

A suite of C++ programs developed for transposable element search and their annotation in large eukaryotic genome sequence. A part of the REPET package.

LESSEM internal package for simulation of forest dynamic depending on climatic variables

Gestion des collections d'échantillon - management of samples collections

Series of tools to extract and plot MuSICA outputs

Command line tool to compute volume of soil samples from images to estimate soil bulk density as in

Coulouma G, Feurer D, Vinatier F, Huttel O. Assessing new sensor-based volume measurement methods for high-throughput bulk density estimation in the field under various soil conditions. Eur J Soil Sci. 2021; 72: 2049–2061. https://doi.org/10.1111/ejss.13115

The R package treediff performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

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

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.