- 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.
- package r-tidygenomics¶
- depends bioconductor-iranges:
- depends libgcc-ng:
- depends libstdcxx-ng:
- depends r-base:
- depends r-dplyr:
- depends r-fuzzyjoin:
- depends r-purrr:
- depends r-rcpp:
- depends r-rlang:
- depends r-tidyr:
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
myenvnamebeing 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>``)