Package Recipe 'hail'

recipe hail

Hail is Python-based data analysis tool for working with genomic data.

Homepage:: https://hail.is
Developer docs:: https://github.com/hail-is/hail
License:: MIT / MIT
Recipe:: /hail/meta.yaml

package hail¶

Versions:

0.2.61-3, 0.2.61-2, 0.2.61-1, 0.2.61-0, 0.2.58-0, 0.2.33-1, 0.2.33-0

Depends:

on aiohttp
on aiohttp-session
on asyncinit
on bokeh >=2.4.0,<3.0.0
on decorator <5
on deprecated
on dill
on gcsfs
on google-api-core
on google-cloud-sdk
on google-cloud-storage
on humanize
on hurry.filesize
on jinja2 <3.1
on libgcc >=13
on libstdcxx >=13
on nest-asyncio
on numpy <1.24
on numpy >=1.23.5,<2.0a0
on openjdk 8.*
on parsimonious
on pyjwt
on pyspark
on python >=3.11,<3.12.0a0
on python-json-logger 0.1.11
on python_abi 3.11.* *_cp311
on requests
on scipy
on tabulate 0.8.3
on tqdm 4.42.1

Additional platforms:

linux-aarch64

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install hail

to add into an existing workspace instead, run:

pixi add hail

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install hail

Alternatively, to install into a new environment, run:

conda create -n envname hail

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/hail:<tag>

(see hail/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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/hail/README.html)