flagme
Analysis of Metabolomics GC/MS Data
Bioconductor version: Release (3.20)
Fragment-level analysis of gas chromatography-massspectrometry metabolomics data.
Author: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>
Maintainer: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>
Citation (from within R, enter
citation("flagme")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flagme")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flagme")
\texttt{flagme}: Fragment-level analysis of \\ GC-MS-based metabolomics data | R Script | |
Using flagme -- Fragment-level analysis of GC-MS-based metabolomics data | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, MassSpectrometry, Software |
Version | 1.62.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (15.5 years) |
License | LGPL (>= 2) |
Depends | gcspikelite, xcms, CAMERA |
Imports | gplots, graphics, MASS, methods, SparseM, stats, utils |
System Requirements | |
URL |
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Depends On Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | flagme_1.62.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/flagme |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/flagme |
Bioc Package Browser | https://code.bioconductor.org/browse/flagme/ |
Package Short Url | https://bioconductor.org/packages/flagme/ |
Package Downloads Report | Download Stats |