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Rdisop

Decomposition of Isotopic Patterns

Bioconductor version: 3.24 · Package version: 1.73.0

In high resolution mass spectrometry (HR-MS), the measured masses can be decomposed into potential element combinations (chemical sum formulas). Where additional mass/intensity information of respective isotopic peaks is available, decomposition can take this information into account to better rank the potential candidate sum formulas. To compare measured mass/intensity information with the theoretical distribution of candidate sum formulas, the latter needs to be calculated. This package implements fast algorithms to address both tasks, the calculation of isotopic distributions for arbitrary sum formulas (assuming a HR-MS resolution of roughly 30,000), and the ranked list of sum formulas fitting an observed peak or isotopic peak set.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Rdisop")

Details

MaintainerSteffen Neumann <sneumann@ipb-halle.de>
AuthorAnton Pervukhin [aut], Steffen Neumann [aut, cre] (ORCID: <https://orcid.org/0000-0002-7899-7192>), Jan Lisec [ctb] (ORCID: <https://orcid.org/0000-0003-1220-2286>), Miao Yu [ctb], Roberto Canteri [ctb]
LicenseGPL-2
URLhttps://github.com/sneumann/Rdisop
Bug Reportshttps://github.com/sneumann/Rdisop/issues/new
System RequirementsNone
Downloads rank1177
Source branchdevel
biocViewsImmunoOncology, MassSpectrometry, Metabolomics, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRdisop_1.73.0.tar.gz
Windows binary (x86_64)Rdisop_1.73.0.zip
macOS binary (arm64)Rdisop_1.73.0.tgz
macOS binary (x86_64)Rdisop_1.73.0.tgz
Dependencies

Depends: R (>= 2.10), Rcpp

LinkingTo: Rcpp

Suggests: knitr, rmarkdown, testthat (>= 3.0.0)

Reverse dependencies

Imports Me (1): enviGCMS

Suggests Me (4): CorMID, InterpretMSSpectrum, MSnbase, RforProteomics