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Bioconductor - QFeatures (development version)

QFeatures

This is the development version of QFeatures; for the stable release version, see QFeatures.

Quantitative features for mass spectrometry data

Bioconductor version: Development (3.22)

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.

Author: Laurent Gatto [aut, cre] ORCID: 0000-0002-1520-2268 , Christophe Vanderaa [aut] ORCID: 0000-0001-7443-5427 , Léopold Guyot [ctb]

Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>

Citation (from within R, enter citation("QFeatures")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("QFeatures")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("QFeatures")
Details biocViews Infrastructure, MassSpectrometry, Metabolomics, Proteomics, Software Version 1.19.2 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License Artistic-2.0 Depends R (>= 4.1), MultiAssayExperiment(>= 1.33.6) Imports methods, stats, utils, S4Vectors, IRanges, SummarizedExperiment, BiocGenerics(>= 0.53.4), ProtGenerics(>= 1.35.1), AnnotationFilter, lazyeval, Biobase, MsCoreUtils(>= 1.7.2), igraph, grDevices, plotly, tidyr, tidyselect, reshape2 System Requirements URL https://github.com/RforMassSpectrometry/QFeatures Bug Reports https://github.com/RforMassSpectrometry/QFeatures/issues See More Suggests SingleCellExperiment, MsDataHub(>= 1.3.3), Matrix, HDF5Array, msdata, ggplot2, gplots, dplyr, limma, DT, shiny, shinydashboard, testthat, knitr, BiocStyle, rmarkdown, vsn, preprocessCore, matrixStats, imputeLCMD, pcaMethods, impute, norm, ComplexHeatmap Linking To Enhances Depends On Me hdxmsqc, msqrob2, scp, scpdata Imports Me MetaboAnnotation, MsExperiment, mspms, PSMatch Suggests Me MsDataHub Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.


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