recipe gopeaks

Peak caller for CUT&TAG data

Homepage:

https://github.com/maxsonBraunLab/gopeaks

License:

MIT / MIT

Recipe:

/gopeaks/meta.yaml

GoPeaks is a peak caller designed for CUT&TAG/CUT&RUN sequencing data. GoPeaks by default works best with narrow peaks such as H3K4me3 and transcription factors. However, broad epigenetic marks like H3K27Ac/H3K4me1 require different the step, slide, and minwidth parameters. We encourage users to explore the parameters of GoPeaks to analyze their data.

package gopeaks

(downloads) docker_gopeaks

versions:

1.0.0-2,  1.0.0-1,  1.0.0-0

depends libgcc-ng:

>=12

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 gopeaks

and update with::

   mamba update gopeaks

To create a new environment, run:

mamba create --name myenvname gopeaks

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/gopeaks:<tag>

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