recipe pyquant-ms

A framework for the analysis of quantitative mass spectrometry data

Homepage:

https://chris7.github.io/pyquant/

License:

MIT / MIT

Recipe:

/pyquant-ms/meta.yaml

package pyquant-ms

versions:

0.2.4-5,  0.2.4-4,  0.2.4-3,  0.2.4-2,  0.2.4-1,  0.2.4-0,  0.2.3-0,  0.2.1-1,  0.2.1-0, 

0.2.4-5,  0.2.4-4,  0.2.4-3,  0.2.4-2,  0.2.4-1,  0.2.4-0,  0.2.3-0,  0.2.1-1,  0.2.1-0,  0.1.43rc3-0,  0.1.42-0

depends libgcc-ng:

>=10.3.0

depends lxml:

depends numpy:

>=1.16.5,<2.0a0

depends pandas:

depends patsy:

depends pythomics:

>=0.3.41

depends python:

>=2.7,<2.8.0a0

depends python_abi:

2.7.* *_cp27mu

depends scikit-learn:

depends scipy:

>=0.18.*

depends setuptools:

depends simplejson:

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 pyquant-ms

and update with::

   mamba update pyquant-ms

To create a new environment, run:

mamba create --name myenvname pyquant-ms

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/pyquant-ms:<tag>

(see `pyquant-ms/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/pyquant-ms/README.html)