To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("rain")
In most cases, you don't need to download the package archive at all.
rain
Rhythmicity Analysis Incorporating Non-parametric Methods
Bioconductor version: 3.0
This package uses non-parametric methods to detect rhythms in time series. It deals with outliers, missing values and is optimized for time series comprising 10-100 measurements. As it does not assume expect any distinct waveform it is optimal or detecting oscillating behavior (e.g. circadian or cell cycle) in e.g. genome- or proteome-wide biological measurements such as: micro arrays, proteome mass spectrometry, or metabolome measurements.
Author: Paul F. Thaben, Pål O. Westermark
Maintainer: Paul F. Thaben <paul.thaben at charite.de>
Citation (from within R,
enter citation("rain")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("rain")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rain")
| R Script | Rain Usage | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse |
| Version | 1.0.1 |
| In Bioconductor since | BioC 3.0 (R-3.1) |
| License | GPL-2 |
| Depends | R (>= 2.10), gmp, multtest |
| Imports | |
| LinkingTo | |
| Suggests | lattice, BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | rain_1.0.1.tar.gz |
| Windows Binary | rain_1.0.1.zip |
| Mac OS X 10.6 (Snow Leopard) | rain_1.0.1.tgz |
| Mac OS X 10.9 (Mavericks) | rain_1.0.1.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
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