Package: CluMSID
Type: Package
Title: Clustering of MS2 Spectra for Metabolite Identification
Version: 1.14.0
Authors@R: c(person("Tobias", "Depke", email = "depke@mailbox.org", 
    role = c("aut", "cre")),
    person("Raimo", "Franke", email = "raimo.franke@helmholtz-hzi.de",
    role = "ctb"),
    person("Mark", "Broenstrup", email = "mark.broenstrup@helmholtz-hzi.de",
    role = "ths"))
Maintainer: Tobias Depke <depke@mailbox.org>
Description: CluMSID is a tool that aids the identification of features 
    in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity 
    and unsupervised statistical methods. It offers functions for a complete 
    and customisable workflow from raw data to visualisations and is
    interfaceable with the xmcs family of preprocessing packages.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/tdepke/CluMSID
BugReports: https://github.com/tdepke/CluMSID/issues
Depends: R (>= 3.6)
biocViews: Metabolomics, Preprocessing, Clustering
Imports: mzR, S4Vectors, dbscan, RColorBrewer, ape, network, GGally,
        ggplot2, plotly, methods, utils, stats, sna, grDevices,
        graphics, Biobase, gplots, MSnbase
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat, dplyr, readr, stringr, magrittr,
        CluMSIDdata, metaMS, metaMSdata, xcms
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/CluMSID
git_branch: RELEASE_3_16
git_last_commit: 144ca3f
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 23:33:00 UTC; biocbuild
Author: Tobias Depke [aut, cre],
  Raimo Franke [ctb],
  Mark Broenstrup [ths]
Built: R 4.2.1; ; 2022-11-02 13:23:50 UTC; windows
