recipe bioconductor-msstatsptm

Statistical Characterization of Post-translational Modifications

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/MSstatsPTM.html

License:

Artistic-2.0

Recipe:

/bioconductor-msstatsptm/meta.yaml

MSstatsPTM provides general statistical methods for quantitative characterization of post-translational modifications (PTMs). Supports DDA, DIA, SRM, and tandem mass tag (TMT) labeling. Typically, the analysis involves the quantification of PTM sites (i.e., modified residues) and their corresponding proteins, as well as the integration of the quantification results. MSstatsPTM provides functions for summarization, estimation of PTM site abundance, and detection of changes in PTMs across experimental conditions.

package bioconductor-msstatsptm

Versions:

2.0.0-1,  2.0.0-0,  1.4.2-1,  1.4.2-0,  1.4.0-0,  1.2.2-0,  1.0.0-2,  1.0.0-1

Depends:

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-msstats >=4.6.0,<4.7.0

• bioconductor-msstatsconvert >=1.8.0,<1.9.0

• bioconductor-msstatstmt >=2.6.0,<2.7.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-checkmate

• r-data.table

• r-dplyr

• r-ggplot2

• r-ggrepel

• r-gridextra

• r-rcpp

• r-stringr

Required By:

• bioconductor-msstatsshiny

• bioconductor-msstatslip

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-msstatsptm

and update with:

conda update bioconductor-msstatsptm

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-msstatsptm:<tag>

(see bioconductor-msstatsptm/tags for valid values for <tag>)

Download stats

Link to this page

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