MALDIquant: Quantitative Analysis of Mass Spectrometry Data
A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.
| Version: | 1.22.3 |
| Depends: | R (≥ 4.0.0), methods |
| Imports: | parallel |
| Suggests: | knitr, testthat (≥ 0.8) |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.MALDIquant |
| Author: | Sebastian Gibb 
[aut, cre],
Korbinian Strimmer
[ths],
Sigurdur Smarason [ctb],
Laurent Gatto
[ctb],
Paolo Inglese [ctb] |
| Maintainer: | Sebastian Gibb <mail at sebastiangibb.de> |
| BugReports: | https://github.com/sgibb/MALDIquant/issues/ |
| License: | GPL (≥ 3) |
| URL: | https://strimmerlab.github.io/software/maldiquant/, https://github.com/sgibb/MALDIquant/ |
| NeedsCompilation: | yes |
| Citation: | MALDIquant citation info |
| Materials: | NEWS |
| In views: | ChemPhys |
| CRAN checks: | MALDIquant results |
Documentation:
| Reference manual: | MALDIquant.pdf |
| Vignettes: |
MALDIquant: Quantitative Analysis of Mass Spectrometry Data (source, R code) |
Downloads:
| Package source: | MALDIquant_1.22.3.tar.gz |
| Windows binaries: | r-devel: MALDIquant_1.22.3.zip, r-release: MALDIquant_1.22.3.zip, r-oldrel: MALDIquant_1.22.3.zip |
| macOS binaries: | r-release (arm64): MALDIquant_1.22.3.tgz, r-oldrel (arm64): MALDIquant_1.22.3.tgz, r-release (x86_64): MALDIquant_1.22.3.tgz, r-oldrel (x86_64): MALDIquant_1.22.3.tgz |
| Old sources: | MALDIquant archive |
Reverse dependencies:
| Reverse depends: | MALDIquantForeign, MALDIrppa, MGMS2, MSclassifR |
| Reverse imports: | IsoCor, MALDIcellassay, maldipickr, MSnbase |
| Reverse suggests: | RforProteomics, xcms |
Linking:
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