Protein Quantification in Mass Spectrometry-Based Proteomics
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 20
- Examples that run
- 50%3 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 26%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 95%
Downloads
Repository
- PRs merged (all time)
- 50%
- Median days to close, 50 most recently updated closed issues
- 46
- Median days to close, 50 most recently updated closed PRs
- 4
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Checks run against github.com/tvpham/iq on 2026-10-11.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing iq adds 2 packages (2 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.0.1Latest
- 2.0.02025-10-06 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.10.12024-12-04 · diff ↗
- 1.102024-12-03 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.9.122023-12-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.9.102023-03-29 · diff ↗
- 1.9.92023-02-27 · diff ↗
- 1.9.72023-01-06 · diff ↗
- 1.9.62022-04-27 · diff ↗
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2022-04-02
- 1.9.32022-04-02 · diff ↗
Show 13 earlier eventsHide 13 earlier events
- archivedRemoved from CRAN2022-02-04policy violation Misrepresentation of authorship
- 1.9.12021-09-15 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.92020-06-27 · diff ↗
- 1.82020-06-14 · diff ↗
- 1.72020-05-27 · diff ↗
- 1.52020-05-18 · diff ↗
- 1.42020-04-27 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.32020-01-07 · diff ↗
- 1.12019-11-16 · diff ↗
- 1.02019-11-15
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-15
- Total releases
- 19 / 7 yrs
- License
- BSD_3_clause + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 137 KB / 1 file
- Download size
- 450 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("iq")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1021/acs.jproteome.5c01038, 10.1093/bioinformatics/btz961.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.