recipe epic2

Ultraperformant Chip-Seq broad domain finder based on SICER.

Homepage:

http://github.com/endrebak/epic2

License:

MIT

Recipe:

/epic2/meta.yaml

Links:

doi: 10.1093/bioinformatics/btz232

package epic2

(downloads) docker_epic2

versions:
0.0.52-9,  0.0.52-8,  0.0.52-7,  0.0.52-6,  0.0.52-5,  0.0.52-4,  0.0.52-3,  0.0.52-2,  0.0.52-1, 

0.0.52-9,  0.0.52-8,  0.0.52-7,  0.0.52-6,  0.0.52-5,  0.0.52-4,  0.0.52-3,  0.0.52-2,  0.0.52-1,  0.0.52-0,  0.0.51-0,  0.0.50-0,  0.0.48-1,  0.0.48-0,  0.0.47-0,  0.0.44-0,  0.0.43-0,  0.0.41-3,  0.0.41-2,  0.0.41-1,  0.0.41-0,  0.0.40-0,  0.0.39-0,  0.0.37-0,  0.0.36-0,  0.0.35-0,  0.0.34-0,  0.0.33-0,  0.0.26-0,  0.0.16-0,  0.0.15-0

depends htslib:

>=1.21,<1.22.0a0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends libzlib:

>=1.3.1,<2.0a0

depends natsort:

depends numpy:

depends pysam:

>=0.22.1,<0.23.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scipy:

requirements:

additional platforms:
linux-aarch64

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 epic2

and update with::

   mamba update epic2

To create a new environment, run:

mamba create --name myenvname epic2

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/epic2:<tag>

(see `epic2/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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