# R libraries for Ampliseq

* Tidyverse
* data.table
* dtplyr
* vegan
* kfigr
* knitr
* DT
* dplyr
* ggplot2
* formattable

## Less important

* grateful (https://github.com/Pakillo/grateful)
* patchwork (https://patchwork.data-imaginist.com/)
* purrr (https://www.tidyverse.org/blog/2022/12/purrr-1-0-0/)

# Biocontainer with following packages
- r-tidyverse=2.0.0
- r-knitr=1.43
- r-dt=0.28
- r-formattable=0.2.1
- r-purrr=1.0.1
- r-vegan=2.6_4
- r-rmarkdown=2.22
- r-optparse=1.7.3
- r-ggplot2=3.4.2
- r-dplyr=1.1.2
- r-data.table=1.14.8
- r-base=4.2.3
- r-dtplyr=1.3.1
- r-patchwork=1.1.2

The docker container is found at: quay.io/biocontainers/mulled-v2-b2ec1fea5791d428eebb8c8ea7409c350d31dada:a447f6b7a6afde38352b24c30ae9cd6e39df95c4-1
the singularity image: https://depot.galaxyproject.org/singularity/mulled-v2-b2ec1fea5791d428eebb8c8ea7409c350d31dada:a447f6b7a6afde38352b24c30ae9cd6e39df95c4-1

## Packages not (yet?) available on bioconda or conda-forge:
- r-kfigr=1.2.1
- grateful