recipe bioconductor-msstatsbig

MSstats Preprocessing for Larger than Memory Data

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-msstatsbig/meta.yaml

MSstats package provide tools for preprocessing, summarization and differential analysis of mass spectrometry (MS) proteomics data. Recently, some MS protocols enable acquisition of data sets that result in larger than memory quantitative data. MSstats functions are not able to process such data. MSstatsBig package provides additional converter functions that enable processing larger than memory data sets.

package bioconductor-msstatsbig

(downloads) docker_bioconductor-msstatsbig

versions:

1.4.0-01.0.0-0

depends bioconductor-msstats:

>=4.14.0,<4.15.0

depends bioconductor-msstatsconvert:

>=1.16.0,<1.17.0

depends r-arrow:

depends r-base:

>=4.4,<4.5.0a0

depends r-dbi:

depends r-dplyr:

depends r-readr:

depends r-sparklyr:

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 bioconductor-msstatsbig

and update with::

   mamba update bioconductor-msstatsbig

To create a new environment, run:

mamba create --name myenvname bioconductor-msstatsbig

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-msstatsbig:<tag>

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

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