recipe peakachu

Peak calling tool for CLIP-seq data.

Homepage:

https://github.com/tbischler/PEAKachu

License:

ISCL

Recipe:

/peakachu/meta.yaml

package peakachu

(downloads) docker_peakachu

versions:
0.2.0-40.2.0-30.2.0-20.2.0-10.2.0-00.1.0-50.1.0-40.1.0-30.1.0-1

0.2.0-40.2.0-30.2.0-20.2.0-10.2.0-00.1.0-50.1.0-40.1.0-30.1.0-10.1.0-0

depends bcbio-gff:

>=0.6.6

depends bioconductor-deseq2:

>=1.18.1

depends bioconductor-edger:

depends biopython:

>=1.77

depends blockbuster:

depends libgcc-ng:

>=12

depends matplotlib-base:

>=3.3.1

depends numexpr:

>=2.7.0

depends pandas:

>=0.25.1

depends pysam:

>=0.16.0.1

depends python:

>=3.8,<3.9.0a0

depends python_abi:

3.8.* *_cp38

depends rpy2:

depends statsmodels:

>=0.10.1

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 peakachu

and update with::

   mamba update peakachu

To create a new environment, run:

mamba create --name myenvname peakachu

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/peakachu:<tag>

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

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