recipe bioconductor-msstats

Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-msstats/meta.yaml

Links:

biotools: msstats

A set of tools for statistical relative protein significance analysis in DDA, SRM and DIA experiments.

package bioconductor-msstats

versions:

4.10.0-1,  4.10.0-0,  4.8.3-0,  4.6.0-1,  4.6.0-0,  4.2.0-2,  4.2.0-1,  4.2.0-0,  4.0.0-0, 

4.10.0-1,  4.10.0-0,  4.8.3-0,  4.6.0-1,  4.6.0-0,  4.2.0-2,  4.2.0-1,  4.2.0-0,  4.0.0-0,  3.22.1-1,  3.22.1-0,  3.22.0-0,  3.20.1-0,  3.20.0-0,  3.18.0-0,  3.16.0-1,  3.14.1-0,  3.14.0-0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends bioconductor-limma:

>=3.58.1,<3.59.0a0

depends bioconductor-marray:

>=1.80.0,<1.81.0

depends bioconductor-marray:

>=1.80.0,<1.81.0a0

depends bioconductor-msstatsconvert:

>=1.12.0,<1.13.0

depends bioconductor-msstatsconvert:

>=1.12.0,<1.13.0a0

depends bioconductor-preprocesscore:

>=1.64.0,<1.65.0

depends bioconductor-preprocesscore:

>=1.64.0,<1.65.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-checkmate:

depends r-data.table:

depends r-ggplot2:

depends r-ggrepel:

depends r-gplots:

depends r-lme4:

depends r-mass:

depends r-rcpp:

depends r-rcpparmadillo:

depends r-statmod:

depends r-survival:

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-msstats

and update with::

   mamba update bioconductor-msstats

To create a new environment, run:

mamba create --name myenvname bioconductor-msstats

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-msstats:<tag>

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

Download stats

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/bioconductor-msstats/README.html)