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iq: Protein Quantification in Mass Spectrometry-Based Proteomics

An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.

Version:2.0.0
Depends:R (≥ 2.10)
LinkingTo:Rcpp,RcppEigen
Suggests:knitr,rmarkdown
Published:2025-10-06
DOI:10.32614/CRAN.package.iq
Author:Thang PhamORCID iD [aut, cre, cph, ctb], Alex HennemanORCID iD [ctb]
Maintainer:Thang Pham <t.pham at amsterdamumc.nl>
BugReports:https://github.com/tvpham/iq/issues
License:BSD_3_clause + fileLICENSE
URL:https://github.com/tvpham/iq
NeedsCompilation:yes
Citation:iq citation info
In views:Omics
CRAN checks:iq results

Documentation:

Reference manual:iq.html ,iq.pdf
Vignettes:Fast MaxLFQ (source)
iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics (source)

Downloads:

Package source: iq_2.0.0.tar.gz
Windows binaries: r-devel:iq_2.0.0.zip, r-release:iq_2.0.0.zip, r-oldrel:iq_2.0.0.zip
macOS binaries: r-release (arm64):iq_2.0.0.tgz, r-oldrel (arm64):iq_2.0.0.tgz, r-release (x86_64):iq_2.0.0.tgz, r-oldrel (x86_64):iq_2.0.0.tgz
Old sources: iq archive

Reverse dependencies:

Reverse suggests:protti

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=iqto link to this page.


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