recipe bioconductor-rawrr

Direct Access to Orbitrap Data and Beyond

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/rawrr.html

License:

GPL-3

Recipe:

/bioconductor-rawrr/meta.yaml

This package wraps the functionality of the RawFileReader .NET assembly. Within the R environment, spectra and chromatograms are represented by S3 objects. The package provides basic functions to download and install the required third-party libraries. The package is developed, tested, and used at the Functional Genomics Center Zurich, Switzerland.

package bioconductor-rawrr

(downloads) docker_bioconductor-rawrr

versions:

1.10.2-0,  1.8.1-0,  1.6.0-0,  1.2.0-0

depends mono:

>=4.5.1

depends r-base:

>=4.3,<4.4.0a0

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 bioconductor-rawrr

and update with::

   mamba update bioconductor-rawrr

To create a new environment, run:

mamba create --name myenvname bioconductor-rawrr

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/bioconductor-rawrr:<tag>

(see `bioconductor-rawrr/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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/bioconductor-rawrr/README.html)