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MineXpert (currently MineXpert3, of the http://www.msxpertsuite.org software collection) is a desktop-oriented program that allows one to visualize mass spectrometric data in their full MS^n depth. Sophisticated mouse-driven mass data integrations are easily performed.

This Vue.js3/Vuetify library contains "chemical-oriented" webcomponents that can be re-used in any other compatible NodeJS libraries / client.

Server : https://shiny.migale.inrae.fr/app/easy16S | Doc : https://easy16s.migale.inrae.fr/

AWDV : Activity Wheel Data Visualizer un programme pour l'analyse des données ACTIVYWHEEL sur le long terme et la visualisation des rythmes d'activité.

{AWDV: Activity Wheel Data Visualizer - A Program for Long-Term ACTIVITYWHEEL Data Analysis and Activity Rhythm Visualization}## Nom du logiciel

ActivityWheelDataVisualizer AWDV

Ce programme vise a pour but le regroupement et la présentation des données d'activité des souris enregistrées par le logiciel ACTIVYWHEEL.

a running wheel (23 cm diameter, Intellibio, Seichamps, France).

Spécifité du logiciel présenté

analyse long terme sur plusieurs enregistrements et possibilité d'exclure des jours en fonction des urrégularités d'enregistrement (erreurs ou interventions) et ajout des rythmes d'activité.

This project is the source repository of the CRAN package 'treediff' https://cran.r-project.org/package=treediff.

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.

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.

This project is the source repository of the CRAN package 'SISIR' https://cran.r-project.org/package=SISIR.

This package can perform interval fusion and selection procedures in regression models with functional inputs. Implemented methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in doi:10.1007/s11222-018-9806-6 (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in doi:10.1002/sam.11705.

Cette revue de presse généraliste et mensuelle a pour but de sensibiliser le public aux problématiques de la sécurité informatique.

Project related to the development of a basket for RARe portal (https://urgi.versailles.inrae.fr/rare).