- Home
- Bioconductor 3.0
- Experiment Packages
- Fletcher2013a
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Fletcher2013a")
In most cases, you don't need to download the package archive at all.
Fletcher2013a
Gene expression data from breast cancer cells under FGFR2 signalling perturbation.
Bioconductor version: 3.0
The package Fletcher2013a contains time-course gene expression data from MCF-7 cells treated under different experimental systems in order to perturb FGFR2 signalling. The data comes from Fletcher et al. (Nature Comms 4:2464, 2013) where further details about the background and the experimental design of the study can be found.
Author: Mauro Castro, Michael Fletcher, Florian Markowetz and Kerstin Meyer.
Maintainer: Mauro Castro <mauro.a.castro at gmail.com>
Citation (from within R,
enter citation("Fletcher2013a")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Fletcher2013a")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Fletcher2013a")
| R Script | Main vignette:Fletcher2013a | |
| Reference Manual |
Details
| biocViews | Cancer, ExperimentData, RNAExpressionData |
| Version | 1.1.1 |
| License | GPL (>= 2) |
| Depends | R (>= 2.15), limma |
| Imports | Biobase, VennDiagram, gplots, grid |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://dx.doi.org/10.1038/ncomms3464 |
| Depends On Me | Fletcher2013b |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Fletcher2013a_1.1.1.tar.gz |
| Windows Binary | Fletcher2013a_1.1.1.zip |
| Mac OS X 10.6 (Snow Leopard) | Fletcher2013a_1.1.1.tgz |
| Mac OS X 10.9 (Mavericks) | Fletcher2013a_1.1.1.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: support.bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2015, Bioconductor
