recipe metabolabpy

Python package to process 1D and 2D NMR spectroscopic data for metabolomics and tracer-based metabolism analysis.

Homepage:

https://github.com/ludwigc/metabolabpy

Documentation:

https://ludwigc.github.io/metabolabpy

License:

GPL3 / GPL-3.0-or-later

Recipe:

/metabolabpy/meta.yaml

package metabolabpy

versions:

0.9.63-0,  0.9.62-0,  0.9.61-0,  0.9.59-0,  0.9.53-0,  0.9.51-0,  0.9.50-0,  0.9.48-0,  0.9.47-0, 

0.9.63-0,  0.9.62-0,  0.9.61-0,  0.9.59-0,  0.9.53-0,  0.9.51-0,  0.9.50-0,  0.9.48-0,  0.9.47-0,  0.9.46-0,  0.9.45-0,  0.9.44-0,  0.9.43-0,  0.9.42-0,  0.9.41-0,  0.6.53-0,  0.6.51-0,  0.6.50-0,  0.6.49-0,  0.6.48-0,  0.6.46-0

depends darkdetect:

depends mat73:

depends matplotlib-base:

depends multiprocess:

depends numba:

depends numpy:

depends openpyxl:

depends pandas:

depends pybaselines:

depends python:

>=3.9

depends pywavelets:

depends scikit-learn:

depends scipy:

depends xlsxwriter:

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 metabolabpy

and update with::

   mamba update metabolabpy

To create a new environment, run:

mamba create --name myenvname metabolabpy

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/metabolabpy:<tag>

(see `metabolabpy/tags`_ for valid values for ``<tag>``)

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