This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see CluMSID.
Bioconductor version: 3.10
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.
Author: Tobias Depke [aut, cre], Raimo Franke [ctb], Mark Broenstrup [ths]
Maintainer: Tobias Depke <tobias.depke at helmholtz-hzi.de>
Citation (from within R,
enter citation("CluMSID")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CluMSID")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CluMSID")
HTML | R Script | CluMSID DI-MS/MS Tutorial |
HTML | R Script | CluMSID GC-EI-MS Tutorial |
HTML | R Script | CluMSID LowRes Tutorial |
HTML | R Script | CluMSID MTBLS Tutorial |
HTML | R Script | CluMSID Tutorial |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Clustering, Metabolomics, Preprocessing, Software |
Version | 1.2.1 |
In Bioconductor since | BioC 3.9 (R-3.6) (1 year) |
License | MIT + file LICENSE |
Depends | R (>= 3.6) |
Imports | mzR, S4Vectors, dbscan, RColorBrewer, ape, network, GGally, ggplot2, plotly, methods, utils, stats, sna, grDevices, graphics, Biobase, gplots, MSnbase |
LinkingTo | |
Suggests | knitr, rmarkdown, testthat, dplyr, readr, stringr, magrittr, CluMSIDdata, metaMS, metaMSdata, xcms |
SystemRequirements | |
Enhances | |
URL | https://github.com/tdepke/CluMSID |
BugReports | https://github.com/tdepke/CluMSID/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CluMSID_1.2.1.tar.gz |
Windows Binary | CluMSID_1.2.1.zip |
Mac OS X 10.11 (El Capitan) | CluMSID_1.2.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CluMSID |
Source Repository (Developer Access) | git clone [email protected]:packages/CluMSID |
Package Short Url | https://bioconductor.org/packages/CluMSID/ |
Package Downloads Report | Download Stats |
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