recipe bioconductor-helloranges

Introduce *Ranges to bedtools users



GPL (>= 2)




biotools: helloranges, doi: 10.1038/nmeth.3252

Translates bedtools command-line invocations to R code calling functions from the Bioconductor *Ranges infrastructure. This is intended to educate novice Bioconductor users and to compare the syntax and semantics of the two frameworks.

package bioconductor-helloranges

(downloads) docker_bioconductor-helloranges



depends bioconductor-biocgenerics:


depends bioconductor-biocio:


depends bioconductor-biostrings:


depends bioconductor-bsgenome:


depends bioconductor-genomeinfodb:


depends bioconductor-genomicalignments:


depends bioconductor-genomicfeatures:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rsamtools:


depends bioconductor-rtracklayer:


depends bioconductor-s4vectors:


depends bioconductor-summarizedexperiment:


depends bioconductor-variantannotation:


depends r-base:


depends r-docopt:



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 bioconductor-helloranges

and update with::

   mamba update bioconductor-helloranges

To create a new environment, run:

mamba create --name myenvname bioconductor-helloranges

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<tag>

(see `bioconductor-helloranges/tags`_ for valid values for ``<tag>``)

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