recipe diapysef

Analysis, conversion and visualization of diaPASEF data.

Homepage:

https://github.com/Roestlab/dia-pasef

License:

MIT / MIT

Recipe:

/diapysef/meta.yaml

package diapysef

versions:

1.0.10-0,  1.0.8-0,  0.3.5-1,  0.3.5-0

depends click:

depends joblib:

depends matplotlib-base:

depends mesa-libgl-cos6-x86_64:

depends numpy:

depends opencv:

depends pandas:

depends patsy:

depends pyopenms:

depends python:

depends scikit-image:

depends seaborn:

depends statsmodels:

depends tqdm:

requirements:

additional platforms:

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 diapysef

and update with::

   mamba update diapysef

To create a new environment, run:

mamba create --name myenvname diapysef

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/diapysef:<tag>

(see `diapysef/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/diapysef/README.html)