recipe sage-proteomics

Proteomics searching so fast it feels like magic.

Homepage:

https://github.com/lazear/sage

Documentation:

https://lazear.github.io/sage/

License:

MIT / MIT

Recipe:

/sage-proteomics/meta.yaml

package sage-proteomics

(downloads) docker_sage-proteomics

versions:
0.14.7-0,  0.14.6-0,  0.14.5-0,  0.14.4-0,  0.14.3-0,  0.14.2-0,  0.14.1-0,  0.14.0-0,  0.13.4-0, 

0.14.7-0,  0.14.6-0,  0.14.5-0,  0.14.4-0,  0.14.3-0,  0.14.2-0,  0.14.1-0,  0.14.0-0,  0.13.4-0,  0.13.3-0,  0.13.2-0,  0.13.1-2,  0.13.1-0,  0.12.0-2,  0.12.0-1,  0.12.0-0,  0.11.2-0,  0.11.0-0,  0.10.0-0,  0.9.4-0,  0.9.0-0,  0.8.1-0,  0.8.0-0,  0.7.1-0

depends libgcc-ng:

>=12

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 sage-proteomics

and update with::

   mamba update sage-proteomics

To create a new environment, run:

mamba create --name myenvname sage-proteomics

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/sage-proteomics:<tag>

(see `sage-proteomics/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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