To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RNAither")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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 uni-greifswald.de>
Citation (from within R,
enter citation("RNAither")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RNAither")
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 |
biocViews | Annotation, CellBasedAssays, GO, Preprocessing, QualityControl, Software, Visualization |
Version | 2.24.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (9 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10), topGO, RankProd, prada |
Imports | geneplotter, limma, biomaRt, car, splots, methods |
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Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RNAither_2.24.0.tar.gz |
Windows Binary | RNAither_2.24.0.zip |
Mac OS X 10.11 (El Capitan) | RNAither_2.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RNAither |
Package Short Url | http://bioconductor.org/packages/RNAither/ |
Package Downloads Report | Download Stats |
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