Package Recipe 'gemini'

recipe gemini

a lightweight db framework for disease and population genetics.

Homepage:: https://github.com/arq5x/gemini
License:: MIT License
Recipe:: /gemini/meta.yaml
Links:: biotools: GEMINI, doi: 10.1371/journal.pcbi.1003153

package gemini¶

Versions:

0.30.2-6, 0.30.2-5, 0.30.2-4, 0.30.2-3, 0.30.2-2, 0.30.2-1, 0.30.2-0, 0.30.1-0, 0.20.1-7,

0.30.2-6, 0.30.2-5, 0.30.2-4, 0.30.2-3, 0.30.2-2, 0.30.2-1, 0.30.2-0, 0.30.1-0, 0.20.1-7, 0.20.1-6, 0.20.1-5, 0.20.1-4, 0.20.1-3, 0.20.1-2, 0.20.1-1, 0.20.1-0, 0.20.0-0, 0.20.0a0-0, 0.19.2a-2, 0.19.2a-1, 0.19.2a-0, 0.19.1-3, 0.19.1-2, 0.19.1-1, 0.19.1-0, 0.19.0-0, 0.18.3-1, 0.18.2-1, 0.18.1-3, 0.18.1-2, 0.18.1-1, 0.18.0-8, 0.18.0-7, 0.18.0-6, 0.18.0-5, 0.18.0-4, 0.18a-4, 0.17.3dev1-4, 0.17.3dev1-3, 0.17.3dev0-2, 0.17.3dev0-1

Depends:

on bcolz
on bottle
on bx-python >=0.11.0,<0.12.0a0
on cyvcf2 >0.6.5
on cyvcf2 >=0.30.28,<0.31.0a0
on geneimpacts
on grabix
on inheritance
on ipyparallel
on ipython-cluster-helper
on jinja2
on libgcc-ng >=12
on networkx
on numexpr
on numpy >=1.21.6,<2.0a0
on openpyxl
on pandas
on pybedtools >=0.10.0,<0.11.0a0
on pysam >=0.22
on pysam >=0.22.0,<0.23.0a0
on python >=3.8,<3.9.0a0
on python-snappy
on python_abi 3.8.* *_cp38
on pyyaml
on scipy
on snappy >=1.2.0,<1.3.0a0
on sqlalchemy
on unidecode
on wget

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 gemini

to add into an existing workspace instead, run:

pixi add gemini

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 gemini

Alternatively, to install into a new environment, run:

conda create -n envname gemini

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/gemini:<tag>

(see gemini/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/gemini/README.html)