To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Rdisop")

In most cases, you don't need to download the package archive at all.

Rdisop

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Rdisop.

Decomposition of Isotopic Patterns

Bioconductor version: 3.4

Identification of metabolites using high precision mass spectrometry. MS Peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.

Author: Anton Pervukhin <apervukh at minet.uni-jena.de>, Steffen Neumann <sneumann at ipb-halle.de>

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Rdisop")

Documentation

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

browseVignettes("Rdisop")
PDF Molecule Identification with Rdisop
PDF Reference Manual
Text INSTALL

Details

Version 1.34.0
In Bioconductor since BioC 2.2 (R-2.7) (9 years)
License GPL-2
Depends R (>= 2.0.0), RcppClassic
Imports
LinkingTo RcppClassic, Rcpp
Suggests RUnit
SystemRequirements None
Enhances
Depends On Me
Imports Me
Suggests Me MSnbase, RforProteomics

Package Archives

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

Package Source Rdisop_1.34.0.tar.gz
Windows Binary Rdisop_1.34.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) Rdisop_1.34.0.tgz
Package Downloads Report Download Stats

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