recipe coolpuppy

A versatile tool to perform pile-up analysis on Hi-C data in .cool format

Homepage:

https://github.com/open2c/coolpuppy

Documentation:

https://coolpuppy.readthedocs.io

License:

MIT / MIT

Recipe:

/coolpuppy/meta.yaml

package coolpuppy

versions:

1.1.0-0,  1.0.0-0

depends bioframe:

>=0.3.3

depends cooler:

>=0.8.5

depends cooltools:

>=0.5.2

depends h5py:

>=3.0

depends h5sparse:

depends m2r2:

depends matplotlib-base:

depends more-itertools:

depends multiprocessing-logging:

depends natsort:

depends numba:

depends numpy:

>=1.16.5

depends pandas:

depends pytables:

depends python:

depends scipy:

depends seaborn:

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 coolpuppy

and update with::

   mamba update coolpuppy

To create a new environment, run:

mamba create --name myenvname coolpuppy

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/coolpuppy:<tag>

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

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