Package: iq 1.10.1

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>). 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.

Authors:Thang Pham [aut, cre, cph, ctb], Alex Henneman [ctb]

iq_1.10.1.tar.gz
iq_1.10.1.tar.gz(r-4.5-noble)iq_1.10.1.tar.gz(r-4.4-noble)
iq_1.10.1.tgz(r-4.4-emscripten)iq_1.10.1.tgz(r-4.3-emscripten)
iq.pdf |iq.html
iq/json (API)

# Install 'iq' in R:
install.packages('iq', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tvpham/iq/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • spikeins - An example dataset of 12 spike-in proteins

cppopenmp

3.33 score 27 scripts 772 downloads 2 mentions 14 exports 2 dependencies

Last updated 6 days agofrom:2bcdd226ef. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linux-x86_64OKDec 04 2024

Exports:create_protein_listcreate_protein_tableextract_annotationfast_MaxLFQfast_preprocessfast_readmaxLFQmeanIntmedian_polishplot_proteinpreprocessprocess_long_formatprocess_wide_formattopN

Dependencies:RcppRcppEigen

Fast MaxLFQ

Rendered fromiq-fast.Rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2024-12-03
Started: 2020-05-18

Relative protein quantification for DIA-MS-based proteomics

Rendered fromiq.Rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2024-12-04
Started: 2019-11-15