proteoQC

DOI: 10.18129/B9.bioc.proteoQC    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.11 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see proteoQC.

An R package for proteomics data quality control

Bioconductor version: 3.11

This package creates an HTML format QC report for MS/MS-based proteomics data. The report is intended to allow the user to quickly assess the quality of proteomics data.

Author: Bo Wen <wenbo at genomics.cn>, Laurent Gatto <lg390 at cam.ac.uk>

Maintainer: Bo Wen <wenbo at genomics.cn>

Citation (from within R, enter citation("proteoQC")):

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("proteoQC")

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

Documentation

PDF   Reference Manual

Details

biocViews ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, ReportWriting, Software, Visualization
Version 1.24.0
In Bioconductor since BioC 3.0 (R-3.1) (6 years)
License LGPL-2
Depends R (>= 3.0.0), XML, VennDiagram, MSnbase
Imports rTANDEM, plyr, seqinr, Nozzle.R1, ggplot2, reshape2, parallel, rpx, tidyr, dplyr, plotly, rmarkdown
LinkingTo
Suggests RforProteomics, knitr, BiocStyle, R.utils, RUnit, BiocGenerics
SystemRequirements
Enhances
URL https://github.com/wenbostar/proteoQC
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/proteoQC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/proteoQC
Package Short Url https://bioconductor.org/packages/proteoQC/
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