Package: iq 2.0.1

Thang Pham
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>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). 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.
Authors:
iq_2.0.1.tar.gz
iq_2.0.1.zip(r-4.7)iq_2.0.1.zip(r-4.6)iq_2.0.1.zip(r-4.5)
iq_2.0.1.tgz(r-4.6-x86_64)iq_2.0.1.tgz(r-4.6-arm64)iq_2.0.1.tgz(r-4.5-x86_64)iq_2.0.1.tgz(r-4.5-arm64)
iq_2.0.1.tar.gz(r-4.7-arm64)iq_2.0.1.tar.gz(r-4.7-x86_64)iq_2.0.1.tar.gz(r-4.6-arm64)iq_2.0.1.tar.gz(r-4.6-x86_64)
iq_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iq/json (API)
NEWS
| # Install 'iq' in R: |
| install.packages('iq', repos = c('https://tvpham.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tvpham/iq/issues
- spikeins - An example dataset of 12 spike-in proteins
Last updated from:7540aa71ab. Checks:11 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 121 | ||
| linux-devel-x86_64 | WARNING | 127 | ||
| source / vignettes | OK | 182 | ||
| linux-release-arm64 | WARNING | 116 | ||
| linux-release-x86_64 | WARNING | 119 | ||
| macos-release-arm64 | WARNING | 136 | ||
| macos-release-x86_64 | WARNING | 314 | ||
| macos-oldrel-arm64 | WARNING | 135 | ||
| macos-oldrel-x86_64 | WARNING | 349 | ||
| windows-devel | WARNING | 95 | ||
| windows-release | WARNING | 121 | ||
| windows-oldrel | WARNING | 104 | ||
| wasm-release | OK | 108 |
Exports:connected_componentcreate_protein_listcreate_protein_tableextract_annotationfast_MaxLFQfast_preprocessfast_readlong_format_to_iq_formatmaxLFQmeanIntmedian_polishplot_proteinpreprocessprocess_iq_formatprocess_long_formatprocess_matrixprocess_wide_formatrescaletopN