Package: RaMS 1.4.3
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.
Authors:
RaMS_1.4.3.tar.gz
RaMS_1.4.3.tar.gz(r-4.5-noble)RaMS_1.4.3.tar.gz(r-4.4-noble)
RaMS_1.4.3.tgz(r-4.4-emscripten)RaMS_1.4.3.tgz(r-4.3-emscripten)
RaMS.pdf |RaMS.html✨
RaMS/json (API)
NEWS
# Install 'RaMS' in R: |
install.packages('RaMS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wkumler/rams/issues
Last updated 2 months agofrom:a84e188fa9. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | OK | Dec 09 2024 |
Exports:%between%betweeneditMSfileRTsgrabAccessionDatagrabMSdatagrabMzmlDatagrabMzxmlDataminifyMSdatamsdata_connectionmz_grouppmppmqplotMS1datatmzmlMakertrapz
Dependencies:base64encclidata.tablerlangxml2
Benchmarking - RaMS, MSnBase, Spectra, Arrow, and SQL
Rendered fromspeed_size_comparison.Rmd
usingknitr::rmarkdown
on Dec 09 2024.Last update: 2024-10-09
Started: 2023-12-14
Intro to RaMS
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usingknitr::rmarkdown
on Dec 09 2024.Last update: 2024-10-09
Started: 2021-03-22
Introduction to the tmzML file type
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usingknitr::rmarkdown
on Dec 09 2024.Last update: 2024-10-09
Started: 2022-11-28
Minifying files with RaMS
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usingknitr::rmarkdown
on Dec 09 2024.Last update: 2024-10-09
Started: 2022-11-28
RaMS and friends
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usingknitr::rmarkdown
on Dec 09 2024.Last update: 2024-03-03
Started: 2021-03-22