recipe probabilistic2020

Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test

Homepage:

https://github.com/KarchinLab/probabilistic2020

License:

APACHE / Apache-2-0

Recipe:

/probabilistic2020/meta.yaml

package probabilistic2020

(downloads) docker_probabilistic2020

versions:

1.2.3-5,  1.2.3-4,  1.2.3-3,  1.2.3-2,  1.2.3-1,  1.2.3-0

depends libgcc-ng:

>=10.3.0

depends libstdcxx-ng:

>=10.3.0

depends numpy:

>=1.16.5,<2.0a0

depends pandas:

>=0.17.0

depends pysam:

depends python:

>=2.7,<2.8.0a0

depends python_abi:

2.7.* *_cp27mu

depends scipy:

<1.3.0

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 probabilistic2020

and update with::

   mamba update probabilistic2020

To create a new environment, run:

mamba create --name myenvname probabilistic2020

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/probabilistic2020:<tag>

(see `probabilistic2020/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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