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rawDiag

This is thereleased version of rawDiag; for the devel version, seerawDiag.

Brings Orbitrap Mass Spectrometry Data to Life; Fast and Colorful

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DOI: 10.18129/B9.bioc.rawDiag


Bioconductor version: Release (3.22)

Optimizing methods for liquid chromatography coupled to mass spectrometry (LC-MS) poses a nontrivial challenge. The rawDiag package facilitates rational method optimization by generating MS operator-tailored diagnostic plots of scan-level metadata. The package is designed for use on the R shell or as a Shiny application on the Orbitrap instrument PC.

Author: Christian Panse [aut, cre]ORCID iD ORCID: 0000-0003-1975-3064, Christian Trachsel [aut], Tobias Kockmann [aut]

Maintainer: Christian Panse <cp at fgcz.ethz.ch>

Citation (from within R, entercitation("rawDiag")):

Installation

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

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

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("rawDiag")
Brings Orbitrap Mass Spectrometry Data to Life; Fast and ColorfulHTMLR Script
Reference ManualPDF
NEWSText
INSTALLText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsInfrastructure,MassSpectrometry,Metabolomics,Proteomics,ShinyApps,Software
Version1.6.0
In Bioconductor sinceBioC 3.19 (R-4.4) (1.5 years)
LicenseGPL-3
DependsR (>= 4.4)
Importsdplyr,ggplot2 (>= 3.4), grDevices,hexbin,htmltools,BiocManager,BiocParallel,rawrr(>= 1.15.5),rlang,reshape2,scales,shiny (>= 1.5), stats, utils
System Requirements
URLhttps://github.com/fgcz/rawDiag/
Bug Reportshttps://github.com/fgcz/rawDiag/issues
See More
SuggestsBiocStyle(>= 2.28),ExperimentHub,tartare,knitr,testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagerawDiag_1.6.0.tar.gz
Windows Binary (x86_64) rawDiag_1.5.2.zip
macOS Binary (x86_64)rawDiag_1.6.0.tgz
macOS Binary (arm64)rawDiag_1.6.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/rawDiag
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/rawDiag
Bioc Package Browserhttps://code.bioconductor.org/browse/rawDiag/
Package Short Urlhttps://bioconductor.org/packages/rawDiag/
Package Downloads ReportDownload Stats

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