recipe starseqr

RNA Fusion Detection and Quantification

Homepage:

https://github.com/ExpressionAnalysis/STAR-SEQR

License:

../../LICENSE

Recipe:

/starseqr/meta.yaml

package starseqr

versions:

0.6.7-5,  0.6.7-4,  0.6.7-3,  0.6.7-2,  0.6.7-1,  0.6.7-0,  0.6.6-0,  0.6.3-0,  0.5.0-0

depends gffread:

depends intervaltree_bio:

depends libgcc-ng:

>=12

depends networkx:

depends numpy:

>=1.21.6,<2.0a0

depends pandas:

>=0.18.1

depends primer3-py:

depends pysam:

>=0.9.1.4

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends six:

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 starseqr

and update with::

   mamba update starseqr

To create a new environment, run:

mamba create --name myenvname starseqr

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/starseqr:<tag>

(see `starseqr/tags`_ for valid values for ``<tag>``)

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