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MetCirc

This is thereleased version of MetCirc; for the devel version, seeMetCirc.

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

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DOI: 10.18129/B9.bioc.MetCirc


Bioconductor version: Release (3.22)

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, entercitation("MetCirc")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("MetCirc")
Workflow for MetabolomicsHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsMassSpectrometry,Metabolomics,ShinyApps,Software,Visualization
Version1.40.0
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
LicenseGPL (>= 3)
DependsR (>= 4.4),amap (>= 0.8),circlize (>= 0.4.16),scales (>= 1.3.0),shiny (>= 1.8.1.1),Spectra(>= 1.15.3)
Importsggplot2 (>= 3.5.1),MsCoreUtils(>= 1.17.0),S4Vectors(>= 0.43.1)
System Requirements
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SuggestsBiocGenerics, graphics (>= 4.4), grDevices (>= 4.4),knitr (>= 1.48),testthat (>= 3.2.1.1)
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageMetCirc_1.40.0.tar.gz
Windows Binary (x86_64) MetCirc_1.40.0.zip
macOS Binary (x86_64)MetCirc_1.40.0.tgz
macOS Binary (arm64)MetCirc_1.40.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MetCirc
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MetCirc
Bioc Package Browserhttps://code.bioconductor.org/browse/MetCirc/
Package Short Urlhttps://bioconductor.org/packages/MetCirc/
Package Downloads ReportDownload Stats

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