flagme
Analysis of Metabolomics GC/MS Data
Bioconductor version: 2.9
Fragment-level analysis of gas chromatography - mass spectrometry metabolomics data
Author: Mark Robinson <mrobinson at wehi.edu.au>
Maintainer: Mark Robinson <mrobinson at wehi.edu.au>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flagme")
To cite this package in a publication, start R and enter:
citation("flagme")
Documentation
| R Script | Using flagme -- Fragment-level analysis of GCMS-based metabolomics data | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bioinformatics, DifferentialExpression, MassSpectrometry |
| Depends | gcspikelite |
| Imports | gplots, graphics, MASS, methods, SparseM, stats, utils, xcms |
| Suggests | |
| System Requirements | |
| License | LGPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.10.0 |
| Since | Bioconductor 2.4 (R-2.9) |
Package Downloads
| Package Source | flagme_1.10.0.tar.gz |
| Windows Binary | flagme_1.10.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | flagme_1.10.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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