recipe msproteomicstools

msproteomicstools is a Python library that can be used in LC-MS/MS based proteomics. It features a core library called.

Homepage:

https://github.com/msproteomicstools/msproteomicstools

License:

BSD / BSD

Recipe:

/msproteomicstools/meta.yaml

package msproteomicstools

(downloads) docker_msproteomicstools

versions:

0.11.0-4,  0.11.0-3,  0.11.0-2,  0.11.0-1,  0.11.0-0,  0.8.0-1,  0.8.0-0,  0.5.0-1,  0.5.0-0

depends biopython:

depends configobj:

depends libgcc-ng:

>=10.3.0

depends libstdcxx-ng:

>=10.3.0

depends lxml:

depends numpy:

>=1.16.5,<2.0a0

depends pymzml:

0.7.8

depends pyteomics:

>=2.4.0

depends python:

>=2.7,<2.8.0a0

depends python-cluster:

1.3.3

depends python_abi:

2.7.* *_cp27mu

depends scikits-datasmooth:

depends scipy:

depends statsmodels:

depends xlsxwriter:

>=0.5.3

depends xlwt:

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 msproteomicstools

and update with::

   mamba update msproteomicstools

To create a new environment, run:

mamba create --name myenvname msproteomicstools

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/msproteomicstools:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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