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conda-dubii-3-stat-R.yml
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## Conda environment for the course "Statistical Analysis with R"
## of the "Diplome Universitaire en Bioinformatique integrative" (DU-Bii).
## https://du-bii.github.io/accueil/
name: du_bii_m3_stat_r-2019
channels:
- bioconda
- conda-forge
- r
dependencies:
## RCRAN packages
## Note: whenever possible, Gildas recommends to use the conda-forge
## rather than the r channel in Anaconda Cloud (https://anaconda.org/)
- conda-forge::r-base >=3.5
- conda-forge::r-knitr # For R markdown
- conda-forge::r-kableextra # To export nice-looking tables in the R markdown reports
- conda-forge::r-formattable # nice formating of tables in reports
- conda-forge::r-roxygen2 # To build package documentation
- conda-forge::r-yaml # Required to load Yaml config files
- conda-forge::r-e1071 # for SVM
- conda-forge::r-randomforest # Supervised classification
- conda-forge::r-tidyverse # Collection of R packages designed for data science (ggplot2, tidyr, dplyr, readr, purr, tibble, strigr, forcats)
- conda-forge::r-factominer # For PCA
- conda-forge::r-factoextra # To plot PCA output
- conda-forge::r-rpart # To compute rpart modele
- conda-forge::r-rpart.plot # To visualize rpart modele
- conda-forge::r-caret # To supervised classification
- conda-forge::r-cowplot # Add-on to ggplot2 for enhanced design
- conda-forge::r-corrplot # Graphical display of a correlation matrix, confidence interval
# - conda-forge::r-momr # Analysis of metagenomic data
- conda-forge::r-gridExtra # Graphical display of several plots
- conda-forge::r-ade4 # PCoA
- conda-forge::r-vegan # Distances calculations
- conda-forge::r-ggpubr # Stats on the graphs
- conda-forge::r-clues # For clustering
- conda-forge::r-gprofiler # functional enrichment
- conda-forge::r-vioplot # Violin plots
- conda-forge::r-sm # undeclared dependency of vioplot
## Bioconda packages
- bioconda::bioconductor-deseq2
- bioconda::bioconductor-edger
- bioconda::bioconductor-limma
- bioconda::bioconductor-qvalue
- bioconda::bioconductor-multtest
- bioconda::bioconductor-recount # used to generate the TCGA study case
- bioconda::r-classdiscovery
- bioconda::r-momr
- bioconda::bioconductor-complexheatmap