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lcmsPlot

Comprehensive Liquid Chromatography-Mass Spectrometry (LC-MS) data visualisation package

Bioconductor version: 3.24 · Package version: 1.1.13

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

lcmsPlot is an R package designed for visualising Liquid Chromatography-Mass Spectrometry (LC-MS) data with publication-ready high-quality plots. The package enables users to generate and customise chromatograms, mass traces, spectra, and more with fine-tuned aesthetics and annotation options.

DOI: 10.18129/B9.bioc.lcmsPlot

Installation

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

BiocManager::install("lcmsPlot")

Details

MaintainerOssama Edbali <o.edbali@bham.ac.uk>
AuthorOssama Edbali [aut, cre] (ORCID: <https://orcid.org/0000-0003-0132-8668>), Ralf Johannes Maria Weber [aut] (ORCID: <https://orcid.org/0000-0002-8796-4771>)
LicenseGPL-3
URLhttps://github.com/computational-metabolomics/lcmsPlot
Bug Reportshttps://github.com/computational-metabolomics/lcmsPlot/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsMassSpectrometry, Metabolomics, Software
Package Short Url https://bioconductor.org/packages/lcmsPlot/

Citation

From within R, enter citation("lcmsPlot"):

Ossama Edbali, Ralf Johannes Maria Weber. lcmsPlot: Comprehensive Liquid Chromatography-Mass Spectrometry (LC-MS) data visualisation package. doi:10.18129/B9.bioc.lcmsPlot, R package version 1.1.13, https://bioconductor.org/packages/lcmsPlot.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagelcmsPlot_1.1.13.tar.gz
Windows binary (x86_64)lcmsPlot_1.1.13.zip
macOS binary (arm64)lcmsPlot_1.1.13.tgz
macOS binary (x86_64)lcmsPlot_1.1.13.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: methods, rlang, dplyr, tibble, tidyr, BiocParallel, MSnbase, xcms, MsExperiment, mzR, Spectra, MsBackendMsp, S4Vectors, ggplot2, scales, patchwork, DBI, RSQLite, jsonlite

Suggests: knitr, rmarkdown, BiocStyle, openxlsx, faahKO, rawrr, msPurity, ggnewscale, htmltools, shiny, shinytoastr, shinytest2, testthat (>= 3.0.0)