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
If you are familiar with the
QFeatures could be
SummarizedExperiment, but for MS data.
QFeatures class is used to manage and process quantitative
features for high-throughput mass spectrometry assays. See the
to get started and the Processing quantitative proteomics data with
vignette for a real-life application. Visualisation of quantitative
mass spectrometry data contained in a
QFeatures object is
illustrated in the Data
QFeatures code is provided under a permissive Artistic 2.0
documentation, including the manual pages and the vignettes, are
distributed under a CC BY-SA
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