The Workflow4Metabolomics, W4M in short, is a French infrastructure offering software tool processing, analyzing and annotating metabolomics data. It is based on the Galaxy platform.
Analysis of variance for repeated measures using mixed model
Galaxy is an open, web-based platform for data intensive biomedical research. Whether on the free public server or your own instance, you can perform, reproduce, and share complete analyses.
Homepage: https://galaxyproject.org/
The main recipe: https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-lme4
#To install miniconda2
#http://conda.pydata.org/miniconda.html
#To install the needed R library using conda:
conda install r-batch r-lme4 r-lmerTest r-viridisLite r-viridis r-Hmisc bioconductor-multtest
#To set an environment:
conda create -n mixmodel4repeated_measures r-batch r-lme4 r-lmerTest r-viridisLite r-viridis r-Hmisc bioconductor-multtest`
#To activate the environment:
. activate mixmodel4repeated_measures
Conda is package manager that among many other things can be used to manage Python packages.
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- Jean-François Martin - French Metabolomics and Fluxomics Infrastructure (MetaboHUB) - MetaToul
- Natacha Lenuzza - French Metabolomics and Fluxomics Infrastructure (MetaboHUB) - [CEA]
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