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RaMS: R Access to Mass-Spec Data

R-based access to mass-spectrometry (MS) data. While many packages exist to process MS data, many of these make it difficult to access the underlying mass-to-charge ratio (m/z), intensity, and retention time of the files themselves. This package is designed to format MS data in a tidy fashion and allows the user perform the plotting and analysis.

Version: 1.4.0
Imports: xml2, base64enc, data.table, utils, stats
Suggests: testthat, knitr, rmarkdown, tidyverse, ggplot2, dplyr, plotly, openxlsx, DBI, RSQLite, reticulate, BiocParallel, Spectra, arrow, microbenchmark, rvest
Published: 2024-03-02
Author: William Kumler [aut, cre, cph], Ricardo Cunha [ctb], Ethan Bass [ctb]
Maintainer: William Kumler <wkumler at uw.edu>
BugReports: https://github.com/wkumler/RaMS/issues
License: MIT + file LICENSE
URL: https://github.com/wkumler/RaMS
NeedsCompilation: no
Citation: RaMS citation info
Materials: README NEWS
In views: ChemPhys
CRAN checks: RaMS results

Documentation:

Reference manual: RaMS.pdf
Vignettes: Intro-to-RaMS
Intro-to-tmzML
Minifying-files-with-RaMS
RaMS-and-friends
Benchmarking

Downloads:

Package source: RaMS_1.4.0.tar.gz
Windows binaries: r-devel: RaMS_1.4.0.zip, r-release: RaMS_1.4.0.zip, r-oldrel: RaMS_1.4.0.zip
macOS binaries: r-release (arm64): RaMS_1.4.0.tgz, r-oldrel (arm64): RaMS_1.4.0.tgz, r-release (x86_64): RaMS_1.4.0.tgz, r-oldrel (x86_64): RaMS_1.4.0.tgz
Old sources: RaMS archive

Reverse dependencies:

Reverse imports: RawHummus

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RaMS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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