To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("proteoQC")

In most cases, you don't need to download the package archive at all.

proteoQC

 

   

An R package for proteomics data quality control

Bioconductor version: Release (3.5)

This package creates a 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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("proteoQC")

Documentation

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

browseVignettes("proteoQC")

 

PDF R Script proteoQC tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews MassSpectrometry, Proteomics, QualityControl, ReportWriting, Software, Visualization
Version 1.11.0
In Bioconductor since BioC 3.0 (R-3.1) (2.5 years)
License LGPL-2
Depends R (>= 3.0.0), XML, VennDiagram, MSnbase
Imports rTANDEM, plyr, seqinr, Nozzle.R1, ggplot2, reshape2, parallel, Rcpp (>= 0.11.1)
LinkingTo Rcpp
Suggests RforProteomics, knitr, BiocStyle, rpx, R.utils, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source proteoQC_1.11.0.tar.gz
Windows Binary proteoQC_1.12.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/proteoQC/tree/release-3.5
Package Short Url http://bioconductor.org/packages/proteoQC/
Package Downloads Report Download Stats

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