recipe deeptools

A set of user-friendly tools for normalization and visualzation of deep-sequencing data

Homepage:

https://github.com/deeptools/deepTools

License:

GPL3

Recipe:

/deeptools/meta.yaml

Links:

biotools: deeptools, doi: 10.1093/nar/gkw257, usegalaxy-eu: deeptools_plot_heatmap

package deeptools

versions:

3.5.4-1,  3.5.3-0,  3.5.2-1,  3.5.2-0,  3.5.1-1,  3.5.1-0,  3.5.0-0,  3.4.3-0,  3.4.2-0, 

3.5.4-1,  3.5.3-0,  3.5.2-1,  3.5.2-0,  3.5.1-1,  3.5.1-0,  3.5.0-0,  3.4.3-0,  3.4.2-0,  3.4.1-0,  3.4.0-0,  3.3.2-1,  3.3.2-0,  3.3.1-0,  3.3.0-0,  3.2.1-0,  3.2.0-0,  3.1.3-1,  3.1.3-0,  3.1.2-0,  3.1.1-0,  3.1.0-0,  3.0.2-0,  3.0.1-1,  3.0.1-0,  3.0.0-0,  2.5.7-0,  2.5.6-0,  2.5.5-0,  2.5.4-0,  2.5.3-0,  2.5.2-0,  2.5.1-0,  2.5.0-0,  2.4.3-0,  2.4.2-0,  2.4.1-1,  2.4.1-0,  2.4.0-0,  2.3.6-2,  2.3.6-1,  2.3.5-2,  2.3.5-1,  2.3.5-0,  2.3.4-0,  2.3.3-0,  2.3.2-0,  2.3.1-0,  2.2.4-0,  2.2.3-0,  2.2.2-0,  2.2.1-0,  2.2.0-0,  2.1.0-0,  2.0.1-0,  2.0.0-0,  1.5.9.1-0,  1.5.8.2-0

depends deeptoolsintervals:

>=0.1.8

depends importlib-metadata:

depends matplotlib-base:

>=3.5.0

depends numpy:

>=1.9.0

depends plotly:

>=4.9

depends py2bit:

>=0.2.0

depends pybigwig:

>=0.2.3

depends pysam:

>=0.14.0

depends python:

>=3.7

depends scipy:

>=0.17.0

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 deeptools

and update with::

   mamba update deeptools

To create a new environment, run:

mamba create --name myenvname deeptools

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/deeptools:<tag>

(see `deeptools/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/deeptools/README.html)