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gcspikelite
Spike-in data for GC/MS data and methods within flagme
Bioconductor version: 2.5
Spike-in data for GC/MS data and methods within flagme
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("gcspikelite")
To cite this package in a publication, start R and enter:
citation("gcspikelite")
Documentation
| Reference Manual |
Details
| biocViews | |
| Depends | R (>= 2.5.0) |
| Imports | |
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | flagme |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.2 |
Package Downloads
| Package Source | gcspikelite_1.0.2.tar.gz |
| Windows Binary | gcspikelite_1.0.2.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | gcspikelite_1.0.2.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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