recipe pydnase

DNase-seq analysis library

Homepage:

http://jpiper.github.io/pyDNase

Documentation:

http://pythonhosted.org/pyDNase/index.html

License:

MIT / MIT

Recipe:

/pydnase/meta.yaml

A suite of tools for analysing DNase-seq data.

package pydnase

versions:

0.3.0-5,  0.3.0-4,  0.3.0-3,  0.3.0-2,  0.3.0-1,  0.3.0-0,  0.2.6-1,  0.2.6-0

depends bedtools:

depends clint:

depends libgcc-ng:

>=12

depends matplotlib-base:

depends numpy:

depends pybedtools:

depends pysam:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends samtools:

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 pydnase

and update with::

   mamba update pydnase

To create a new environment, run:

mamba create --name myenvname pydnase

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/pydnase:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/pydnase/README.html)