recipe quantms-utils

Python package with scripts and helpers for the quantms workflow.

Homepage:

https://www.github.com/bigbio/quantms-utils

Documentation:

https://quantms.org/home

License:

MIT / MIT

Recipe:

/quantms-utils/meta.yaml

package quantms-utils

versions:

0.0.12-0,  0.0.11-0,  0.0.10-0,  0.0.9-0,  0.0.8-0,  0.0.7-0,  0.0.6-0,  0.0.5-0,  0.0.4-0, 

0.0.12-0,  0.0.11-0,  0.0.10-0,  0.0.9-0,  0.0.8-0,  0.0.7-0,  0.0.6-0,  0.0.5-0,  0.0.4-0,  0.0.3-0,  0.0.2-0

depends click:

>=7.0

depends deeplc:

2.2.38

depends deeplcretrainer:

depends ms2pip:

4.0.0.dev8

depends ms2rescore:

3.0.3

depends numpy:

depends pandas:

>=1.0.0

depends protobuf:

>=3.9.2

depends psm-utils:

0.8.2

depends pyarrow:

depends pydantic:

>=1.10,<2

depends pygam:

depends pyopenms:

>=2.9.1

depends python:

>=3.7.0,<4.0.0

depends scikit-learn:

depends scipy:

1.13.1

depends sdrf-pipelines:

>=0.0.31

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 quantms-utils

and update with::

   mamba update quantms-utils

To create a new environment, run:

mamba create --name myenvname quantms-utils

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/quantms-utils:<tag>

(see `quantms-utils/tags`_ for valid values for ``<tag>``)

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