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Protein Quantification in Mass Spectrometry-Based Proteomics

0packages dependsuggested by 1
9.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 2.0.1
READMENoVignettesYes · 2 · staticNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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

9.2K
CRAN downloads in the past year
Rank #3,937 · ~25/day · ~763/mo
Daily download trend is not available in this view yet.
94730 days
2.3K90 days
9.2K1 year
Compare downloads with other packages →
Also on623 r2u9 autocran565 conda_forge26 c2d4u

Repository

34Stars
9Forks
20Open issues
0Open PRs
3Releases
55Commits
4Commit identities
License file reads as BSD-3-Clause · 55 commits · Last activity 2026-03-21 · 0% stars, 30d · Discussions: 2 posts
Responsiveness
How these are sampled
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

2025-06-04 · 312026-07-07 · 34
PracticesBeta

Checks run against github.com/tvpham/iq on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing iq adds 2 packages (2 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 2.10
Imports (0)
none
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2019), Copyright holder, Contributor
Contributor
Releases (19)

Pick two releases to compare their code metrics.

Show 13 earlier eventsHide 13 earlier events

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for iq version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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