MetCirc

This is the released version of MetCirc; for the devel version, see MetCirc.

Navigating mass spectral similarity in high-resolution MS/MS metabolomics data metabolomics data


Bioconductor version: Release (3.20)

MetCirc comprises a workflow to interactively explore high-resolution MS/MS metabolomics data. MetCirc uses the Spectra object infrastructure defined in the package Spectra that stores MS/MS spectra. MetCirc offers functionality to calculate similarity between precursors based on the normalised dot product, neutral losses or user-defined functions and visualise similarities in a circular layout. Within the interactive framework the user can annotate MS/MS features based on their similarity to (known) related MS/MS features.

Author: Thomas Naake <thomasnaake at googlemail.com>, Johannes Rainer <johannes.rainer at eurac.edu> and Emmanuel Gaquerel <emmanuel.gaquerel at ibmp-cnrs.unistra.fr>

Maintainer: Thomas Naake <thomasnaake at googlemail.com>

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

Installation

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


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

BiocManager::install("MetCirc")

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("MetCirc")
Workflow for Metabolomics HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews MassSpectrometry, Metabolomics, ShinyApps, Software, Visualization
Version 1.36.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License GPL (>= 3)
Depends R (>= 4.4), amap (>= 0.8), circlize (>= 0.4.16), scales (>= 1.3.0), shiny (>= 1.8.1.1), Spectra(>= 1.15.3)
Imports ggplot2 (>= 3.5.1), MsCoreUtils(>= 1.17.0), S4Vectors(>= 0.43.1)
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Suggests BiocGenerics, graphics (>= 4.4), grDevices (>= 4.4), knitr (>= 1.48), testthat (>= 3.2.1.1)
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Package Archives

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

Source Package MetCirc_1.36.0.tar.gz
Windows Binary (x86_64) MetCirc_1.36.0.zip (64-bit only)
macOS Binary (x86_64) MetCirc_1.36.0.tgz
macOS Binary (arm64) MetCirc_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MetCirc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MetCirc
Bioc Package Browser https://code.bioconductor.org/browse/MetCirc/
Package Short Url https://bioconductor.org/packages/MetCirc/
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