recipe pybedtools

Wraps BEDTools for use in Python and adds many additional features.

Homepage:

https://github.com/daler/pybedtools

Documentation:

https://daler.github.io/pybedtools

License:

MIT / MIT

Recipe:

/pybedtools/meta.yaml

Links:

biotools: pybedtools

package pybedtools

(downloads) docker_pybedtools

versions:
0.10.0-20.10.0-10.10.0-00.9.1-10.9.1-00.9.0-20.9.0-10.9.0-00.8.2-1

0.10.0-20.10.0-10.10.0-00.9.1-10.9.1-00.9.0-20.9.0-10.9.0-00.8.2-10.8.2-00.8.1-30.8.1-20.8.1-10.8.1-00.8.0-10.8.0-00.7.10-30.7.10-20.7.10-10.7.10-00.7.9-00.7.8-10.7.7-10.7.6-10.7.5-00.7.4-00.7.2-10.7.0-10.6.9-60.6.9-50.6.9-40.6.9-30.6.9-20.6.9-10.6.9-0

depends bedtools:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends numpy:

depends pysam:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

requirements:

additional platforms:
linux-aarch64osx-arm64

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 pybedtools

and update with::

   mamba update pybedtools

To create a new environment, run:

mamba create --name myenvname pybedtools

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/pybedtools:<tag>

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

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