recipe coolbox

Jupyter notebook based genomic data visulization toolkit.

Homepage:

https://github.com/GangCaoLab/CoolBox

License:

GPL3

Recipe:

/coolbox/meta.yaml

package coolbox

(downloads) docker_coolbox

versions:
0.3.8-00.3.7-10.3.7-00.3.6-00.3.5-00.3.4-00.3.3-00.3.1-00.3.0-0

0.3.8-00.3.7-10.3.7-00.3.6-00.3.5-00.3.4-00.3.3-00.3.1-00.3.0-00.2.2-00.2.1-0

depends cooler:

>=0.8.10

depends dna_features_viewer:

depends fire:

depends h5py:

depends htslib:

depends intervaltree:

depends ipywidgets:

>=7.5.1

depends jupyter:

>=1.0.0

depends matplotlib-base:

>=3.1.1

depends nbformat:

depends numpy:

depends numpydoc:

depends pairix:

depends pandas:

>=1.0.0

depends pybbi:

depends python:

>=3.7

depends samtools:

>=1.10

depends scipy:

>=1.0.0

depends statsmodels:

depends svgutils:

depends voila:

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 coolbox

and update with::

   mamba update coolbox

To create a new environment, run:

mamba create --name myenvname coolbox

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/coolbox:<tag>

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

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