recipe massdash

MassDash is a streamlined DIA mass spec visualization, analysis, optimization, and rapid prototyping.

Homepage:

https://github.com/Roestlab/massdash

License:

BSD / BSD-3-Clause

Recipe:

/massdash/meta.yaml

package massdash

versions:

0.1.0-0,  0.0.9-0,  0.0.8-0,  0.0.6-0,  0.0.5-0

depends bokeh:

>3.0

depends click:

>=8.1

depends joblib:

depends matplotlib-base:

depends numpy:

>=1.9.0

depends pandas:

>=0.17

depends plotly:

5.24.1

depends psutil:

depends pyopenms:

>=3.2.0

depends python:

>=3.10,<=3.12

depends requests:

depends scipy:

>=1.12.0

depends streamlit:

depends tqdm:

depends upsetplot:

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 massdash

and update with::

   mamba update massdash

To create a new environment, run:

mamba create --name myenvname massdash

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/massdash:<tag>

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

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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/massdash/README.html)