Explore projects
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Cedric Midoux / slides
Creative Commons Attribution Share Alike 4.0 InternationalUpdated -
List of workflows (nextflow/snakemake) tested for Genotoul Cluster.
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UREP / Models / ModVege / ModVege R
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Omnicrobe / Omnicrobe web
Apache License 2.0Updated -
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Gauthier Quesnel / beamer-inrae
Do What The F*ck You Want To Public LicenseA quick and dirty beamer theme for INRAE
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Traduction française des FAIR4RS Principles (voir README)
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Présentation de git et de son écosystème dans le cadre des rencontres ingénieurs statisticiens de Toulouse (dec. 2021).
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PGBA_public / GenoFig
GNU General Public License v3.0 or laterGenoFig is a tool for graphical vizualisation of annotated genetic regions, and homologous regions comparison. It was designed to be as easy to use as possible for biologists.
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OptirrigHIVE / OptirrigCORE
GNU General Public License v3.0 onlyDocs : https://optirrighive.pages.mia.inra.fr/OptirrigCORE
What is “OptirrigCORE” package ? The OptirrigCORE package in R is based on the Optirrig model. It facilitates the extraction and formatting of observation data used by the model, as well as the integration of plant, soil and yield descriptions. It supports various analytical methods, such as Ex-Post and Ex-Ante analyses, with a view to drawing up an optimised irrigation schedule based on the criteria. The package includes all the calculation tools needed to describe biophysical processes with a generalist approach. It can be used as a dependency or complement to modify and reinterpret biophysical descriptions. What’s more, it automates the modeling process, the description of biophysical processes and the analysis of results and performance, guaranteeing a reproducible approach. It also makes it easy to compile results in automated reports.
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SCALES / R package hicream
GNU General Public License v3.0 or laterThis project is the source repository of the CRAN package 'hicream' https://cran.r-project.org/package=hicream.
It 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.
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Life game (Conway) using vle::discrete_time cells and vle.generic.builder Builder model to generate cells and their connexions
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Ludovic Mailleret / EDO
GNU General Public License v3.0 onlyfichiers de support pour EDO Sys Dyn - MAM3 EPU Nice Sophia
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