recipe hap.py

Haplotype VCF comparison tools

Homepage:

https://github.com/Illumina/hap.py

License:

BSD / BSD-2-Clause

Recipe:

/hap.py/meta.yaml

package hap.py

versions:

0.3.15-0,  0.3.14-0,  0.3.13-0,  0.3.12-2,  0.3.12-1,  0.3.12-0,  0.3.10-0,  0.3.7-1,  0.3.7-0, 

0.3.15-0,  0.3.14-0,  0.3.13-0,  0.3.12-2,  0.3.12-1,  0.3.12-0,  0.3.10-0,  0.3.7-1,  0.3.7-0,  0.2.9-1,  0.2.9-0

depends bcftools:

depends boost-cpp:

>=1.74.0,<1.74.1.0a0

depends bx-python:

depends htslib:

>=1.17,<1.22.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends nose:

depends numpy:

depends pandas:

depends pybedtools:

depends pysam:

>=0.20.0,<1.0a0

depends python:

>=2.7,<2.8.0a0

depends python_abi:

2.7.* *_cp27mu

depends samtools:

depends scipy:

requirements:

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 hap.py

and update with::

   mamba update hap.py

To create a new environment, run:

mamba create --name myenvname hap.py

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/hap.py:<tag>

(see `hap.py/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/hap.py/README.html)