recipe bioconductor-trna

Analyzing tRNA sequences and structures



GPL-3 + file LICENSE



The tRNA package allows tRNA sequences and structures to be accessed and used for subsetting. In addition, it provides visualization tools to compare feature parameters of multiple tRNA sets and correlate them to additional data. The tRNA package uses GRanges objects as inputs requiring only few additional column data sets.

package bioconductor-trna

(downloads) docker_bioconductor-trna



depends bioconductor-biocgenerics:


depends bioconductor-biostrings:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-modstrings:


depends bioconductor-s4vectors:


depends bioconductor-structstrings:


depends bioconductor-xvector:


depends r-base:


depends r-ggplot2:

depends r-scales:

depends r-stringr:



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-trna

and update with::

   mamba update bioconductor-trna

To create a new environment, run:

mamba create --name myenvname bioconductor-trna

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-trna/tags`_ for valid values for ``<tag>``)

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