recipe r-tidytacos

Functions to manipulate and visualize microbial community data

Homepage:

https://lebeerlab.github.io/tidytacos/

License:

GPL-3.0-only

Recipe:

/r-tidytacos/meta.yaml

Tidytacos (tidy TAxonomic COmpositionS) is an R package for the exploration of microbial community data. Such community data consists of read counts generated by amplicon sequencing (e.g. a region of the 16S rRNA gene) or metagenome (shotgun) sequencing. Each read count represents a number of sequencing reads identified for some taxon (an ASV, OTU, species, or higher-level taxon) in a sample.

package r-tidytacos

(downloads) docker_r-tidytacos

versions:

1.0.8-0

depends r-base:

>=4.5,<4.6.0a0

depends r-dplyr:

depends r-forcats:

depends r-ggplot2:

depends r-magrittr:

depends r-plotly:

depends r-purrr:

depends r-readr:

depends r-rlang:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

depends r-vegan:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install r-tidytacos

and update with::

   mamba update r-tidytacos

To create a new environment, run:

mamba create --name myenvname r-tidytacos

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/r-tidytacos:<tag>

(see `r-tidytacos/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

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