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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, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160). In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Version: | 1.9.12 |
Depends: | R (≥ 2.10) |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown |
Published: | 2023-12-06 |
DOI: | 10.32614/CRAN.package.iq |
Author: | Thang Pham |
Maintainer: | Thang Pham <t.pham at amsterdamumc.nl> |
BugReports: | https://github.com/tvpham/iq/issues |
License: | BSD_3_clause + file LICENSE |
URL: | https://github.com/tvpham/iq |
NeedsCompilation: | yes |
Citation: | iq citation info |
In views: | Omics |
CRAN checks: | iq results |
Reference manual: | iq.pdf |
Vignettes: |
Fast MaxLFQ iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics |
Package source: | iq_1.9.12.tar.gz |
Windows binaries: | r-devel: iq_1.9.12.zip, r-release: iq_1.9.12.zip, r-oldrel: iq_1.9.12.zip |
macOS binaries: | r-release (arm64): iq_1.9.12.tgz, r-oldrel (arm64): iq_1.9.12.tgz, r-release (x86_64): iq_1.9.12.tgz, r-oldrel (x86_64): iq_1.9.12.tgz |
Old sources: | iq archive |
Reverse suggests: | protti |
Please use the canonical form https://CRAN.R-project.org/package=iq to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.