recipe bioconductor-qfeatures

Quantitative features for mass spectrometry data

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-qfeatures/meta.yaml

The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assay levels (such as peptide spectrum matches, peptides and proteins) in a coherent and tractable format.

package bioconductor-qfeatures

Versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-2,  1.0.0-1

Depends:

• bioconductor-annotationfilter >=1.22.0,<1.23.0

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-mscoreutils >=1.10.0,<1.11.0

• bioconductor-multiassayexperiment >=1.24.0,<1.25.0

• bioconductor-protgenerics >=1.30.0,<1.31.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-igraph

• r-lazyeval

• r-plotly

Required By:

• bioconductor-msexperiment

• bioconductor-metaboannotation

• bioconductor-msqrob2

• bioconductor-scp

• bioconductor-scpdata

• bioconductor-psmatch

Installation

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

conda install bioconductor-qfeatures

and update with:

conda update bioconductor-qfeatures

or use the docker container:

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

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

Download stats

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