recipe peka

Analysis of kmers located around locations of interest

Homepage:

https://github.com/ulelab/peka

License:

GPL3 / GPL-3.0-or-later

Recipe:

/peka/meta.yaml

Links:

doi: 10.1186/s13059-022-02755-2

package peka

versions:

1.0.2-0,  1.0.1-0,  1.0.0-0,  0.1.6-0,  0.1.5-0,  0.1.4-0,  0.1.2-0

depends matplotlib-base:

depends numpy:

depends pandas:

depends plumbum:

depends pybedtools:

depends python:

>=3.7

depends scikit-learn:

depends scipy:

depends seaborn:

depends textdistance:

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 peka

and update with::

   mamba update peka

To create a new environment, run:

mamba create --name myenvname peka

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/peka:<tag>

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

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