recipe hictkpy

Python bindings for hictk: read and write .cool and .hic files directly from Python

Homepage:

https://github.com/paulsengroup/hictkpy

Documentation:

https://hictkpy.readthedocs.io/en/stable/

License:

MIT

Recipe:

/hictkpy/meta.yaml

Links:

biotools: hictkpy, doi: 10.5281/zenodo.8220300

package hictkpy

(downloads) docker_hictkpy

versions:

1.1.0-01.0.0-00.0.5-20.0.5-10.0.5-00.0.4-00.0.3-00.0.2-00.0.1-0

depends hdf5:

>=1.14,<2.0a0

depends hdf5:

>=1.14.4,<1.14.5.0a0

depends libarrow:

>=18.1.0,<18.2.0a0

depends libdeflate:

>=1,<2.0a0

depends libdeflate:

>=1.22,<1.23.0a0

depends libgcc:

>=13

depends libgcc:

>=14

depends libstdcxx:

>=14

depends numpy:

>=1.22.4,<2.0a0

depends pandas:

depends pyarrow:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scipy:

depends zstd:

>=1.5,<2.0a0

depends zstd:

>=1.5.6,<1.6.0a0

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 hictkpy

and update with::

   mamba update hictkpy

To create a new environment, run:

mamba create --name myenvname hictkpy

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/hictkpy:<tag>

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

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