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: | 1.9.6 |
Depends: | R (≥ 2.10) |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown |
Published: | 2022-04-26 |
Author: | Thang Pham [aut, cre, cph, ctb], Alex Henneman [ctb] |
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 |
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_1.9.6.tar.gz |
Windows binaries: | r-devel: iq_1.9.6.zip, r-release: iq_1.9.6.zip, r-oldrel: iq_1.9.6.zip |
macOS binaries: | r-release (arm64): iq_1.9.6.tgz, r-oldrel (arm64): iq_1.9.6.tgz, r-release (x86_64): iq_1.9.6.tgz, r-oldrel (x86_64): iq_1.9.6.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.