recipe svtools

Tools for processing and analyzing structural variants

Homepage:

https://github.com/hall-lab/svtools

License:

MIT / MIT License

Recipe:

/svtools/meta.yaml

package svtools

versions:

0.5.1-0,  0.4.0-2,  0.3.2-2,  0.3.2-0,  0.3.1-3,  0.3.1-2,  0.3.1-1,  0.3.0-2,  0.3.0-1, 

0.5.1-0,  0.4.0-2,  0.3.2-2,  0.3.2-0,  0.3.1-3,  0.3.1-2,  0.3.1-1,  0.3.0-2,  0.3.0-1,  0.2.0-2,  0.2.0-1,  0.2.0-0,  0.1.1-2,  0.1.1-0

depends crcmod:

depends google-auth:

depends google-compute-engine:

depends logzero:

depends numpy:

depends pandas:

0.19.2.*

depends python:

<3

depends scipy:

depends statsmodels:

depends svtyper:

0.7.1.*

requirements:

additional platforms:

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 svtools

and update with::

   mamba update svtools

To create a new environment, run:

mamba create --name myenvname svtools

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/svtools:<tag>

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

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