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All Projects → rformassspectrometry → QFeatures

rformassspectrometry / QFeatures

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Quantitative features for mass spectrometry data

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r
7636 projects

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rstatsbioconductorproteomicsmetabolomicsmass-spectrometry

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Quantitative features for mass spectrometry data

Project Status: Active – The project has reached a stable, usable state and is being actively developed. R-CMD-check-bioc codecov.io license

Evolving MSnSet data towards SummarizedExperiment, but for MS data.

QFeatures is a Bioconductor package that provides infrastructure enabling 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.

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.

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