QFeatures is a Bioconductor
package that provides
infrastructure to management and process quantitative features for
high-throughput mass spectrometry assays. It provides a familiar
Bioconductor user experience to manage quantitative data across
different assay levels (such as precursors, peptide spectrum matches,
peptides and proteins or protein groups) in a coherent and tractable
format.
If you are familiar with the MSnbase package, QFeatures could be
summarised with:
Evolving
MSnSetdata towardsSummarizedExperiment, but for MS data.
The QFeatures class is used to manage and process quantitative
features for high-throughput mass spectrometry assays. See the
QFeatures
introduction
to get started and the Processing quantitative proteomics data with
QFeatures
vignette for a real-life application. Visualisation of quantitative
mass spectrometry data contained in a QFeatures object is
illustrated in the Data
visualisation
vignette.
The QFeatures code is provided under a permissive Artistic 2.0
license. The
documentation, including the manual pages and the vignettes, are
distributed under a CC BY-SA
license.