- Home
- Bioconductor 3.0
- Software Packages
- RNAither
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RNAither")
In most cases, you don't need to download the package archive at all.
RNAither
Statistical analysis of high-throughput RNAi screens
Bioconductor version: 3.0
RNAither analyzes cell-based RNAi screens, and includes quality assessment, customizable normalization and statistical tests, leading to lists of significant genes and biological processes.
Author: Nora Rieber and Lars Kaderali, University of Heidelberg, Viroquant Research Group Modeling, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Maintainer: Lars Kaderali <lars.kaderali at tu-dresden.de>
Citation (from within R,
enter citation("RNAither")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RNAither")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RNAither")
| R Script | RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens | |
| Reference Manual |
Details
| biocViews | Annotation, CellBasedAssays, GO, Preprocessing, QualityControl, Software, Visualization |
| Version | 2.14.0 |
| In Bioconductor since | BioC 2.3 (R-2.8) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10), topGO, RankProd, prada |
| Imports | geneplotter, limma, biomaRt, car, splots, methods |
| LinkingTo | |
| Suggests | |
| 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 | RNAither_2.14.0.tar.gz |
| Windows Binary | RNAither_2.14.0.zip |
| Mac OS X 10.6 (Snow Leopard) | RNAither_2.14.0.tgz |
| Mac OS X 10.9 (Mavericks) | RNAither_2.14.0.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
