recipe peakzilla

Peakzilla identifies sites of enrichment and transcription factor binding sites from transcription factor ChIP-seq and ChIP-exo experiments at hight accuracy and resolution.

Homepage:

http://stark.imp.ac.at/data/peakzilla

License:

GPLv2

Recipe:

/peakzilla/meta.yaml

Links:

biotools: peakzilla, doi: 10.1093/bioinformatics/btt470

package peakzilla

(downloads) docker_peakzilla

versions:

1.0-2,  1.0-1,  1.0-0

depends python:

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 peakzilla

and update with::

   mamba update peakzilla

To create a new environment, run:

mamba create --name myenvname peakzilla

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/peakzilla:<tag>

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

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Link to this page

Render an install-with-bioconda 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/peakzilla/README.html)