recipe r-tidygenomics

Handle genomic data within data frames just as you would with 'GRanges'. This packages provides method to deal with genomic intervals the "tidy-way" which makes it simpler to integrate in the the general data munging process. The API is inspired by the popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package.

Homepage:

https://github.com/const-ae/tidygenomics

License:

GPL3 / GPL-3

Recipe:

/r-tidygenomics/meta.yaml

package r-tidygenomics

versions:

0.1.2-7,  0.1.2-6,  0.1.2-5,  0.1.2-4,  0.1.2-3,  0.1.2-2,  0.1.2-1,  0.1.2-0,  0.1.0-3, 

0.1.2-7,  0.1.2-6,  0.1.2-5,  0.1.2-4,  0.1.2-3,  0.1.2-2,  0.1.2-1,  0.1.2-0,  0.1.0-3,  0.1.0-2,  0.1.0-0

depends bioconductor-iranges:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-dplyr:

depends r-fuzzyjoin:

>=0.1.3

depends r-purrr:

depends r-rcpp:

depends r-rlang:

depends r-tidyr:

requirements:

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-tidygenomics

and update with::

   mamba update r-tidygenomics

To create a new environment, run:

mamba create --name myenvname r-tidygenomics

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-tidygenomics:<tag>

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

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