Rdisop

Decomposition of Isotopic Patterns


Bioconductor version: Release (3.20)

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.

Author: Anton Pervukhin [aut], Steffen Neumann [aut, cre] , Jan Lisec [ctb] , Miao Yu [ctb]

Maintainer: Steffen Neumann <sneumann at ipb-halle.de>

Citation (from within R, enter citation("Rdisop")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("Rdisop")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Rdisop")
Mass decomposition with the Rdisop package HTML
Reference Manual PDF
INSTALL Text

Details

biocViews ImmunoOncology, MassSpectrometry, Metabolomics, Software
Version 1.66.0
In Bioconductor since BioC 2.2 (R-2.7) (16.5 years)
License GPL-2
Depends R (>= 2.0.0), Rcpp
Imports
System Requirements None
URL https://github.com/sneumann/Rdisop
Bug Reports https://github.com/sneumann/Rdisop/issues/new
See More
Suggests knitr, rmarkdown, RUnit, testthat (>= 3.0.0)
Linking To Rcpp
Enhances
Depends On Me
Imports Me enviGCMS
Suggests Me adductomicsR, MSnbase, RforProteomics, CorMID, InterpretMSSpectrum
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package Rdisop_1.66.0.tar.gz
Windows Binary (x86_64) Rdisop_1.66.0.zip
macOS Binary (x86_64) Rdisop_1.66.0.tgz
macOS Binary (arm64) Rdisop_1.66.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rdisop
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Rdisop
Bioc Package Browser https://code.bioconductor.org/browse/Rdisop/
Package Short Url https://bioconductor.org/packages/Rdisop/
Package Downloads Report Download Stats