recipe trnascan-se

tRNA detection in large-scale genomic sequences

Homepage:

https://lowelab.ucsc.edu/tRNAscan-SE/

Documentation:

https://lowelab.ucsc.edu/tRNAscan-SE/help.html

Developer docs:

https://github.com/UCSC-LoweLab/tRNAscan-SE

License:

GPL3 / GPL-3.0-or-later

Recipe:

/trnascan-se/meta.yaml

Links:

biotools: trnascan-se, doi: 10.1093/nar/gkab688

package trnascan-se

(downloads) docker_trnascan-se

versions:
2.0.12-2,  2.0.12-1,  2.0.12-0,  2.0.11-1,  2.0.11-0,  2.0.9-3,  2.0.9-2,  2.0.9-1,  2.0.9-0, 

2.0.12-2,  2.0.12-1,  2.0.12-0,  2.0.11-1,  2.0.11-0,  2.0.9-3,  2.0.9-2,  2.0.9-1,  2.0.9-0,  2.0.7-1,  2.0.7-0,  2.0.6-0,  2.0.5-0,  2.0.3-0,  2.0-1,  2.0-0,  1.3.1-10,  1.3.1-9,  1.3.1-8,  1.3.1-7,  1.3.1-6,  1.3.1-5,  1.3.1-4,  1.3.1-3,  1.3.1-2,  1.3.1-1

depends infernal:

>=1.1.4

depends libgcc:

>=13

depends perl:

>=5.32.1,<5.33.0a0 *_perl5

requirements:

additional platforms:
linux-aarch64,  osx-arm64

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 trnascan-se

and update with::

   mamba update trnascan-se

To create a new environment, run:

mamba create --name myenvname trnascan-se

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/trnascan-se:<tag>

(see `trnascan-se/tags`_ for valid values for ``<tag>``)

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