RNAither

DOI: 10.18129/B9.bioc.RNAither    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see RNAither.

Statistical analysis of high-throughput RNAi screens

Bioconductor version: 3.12

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")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RNAither")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RNAither")

 

PDF R Script RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens
PDF   Reference Manual

Details

biocViews Annotation, CellBasedAssays, GO, ImmunoOncology, Preprocessing, QualityControl, Software, Visualization
Version 2.38.0
In Bioconductor since BioC 2.3 (R-2.8) (12.5 years)
License Artistic-2.0
Depends R (>= 2.10), topGO, RankProd, prada
Imports geneplotter, limma, biomaRt, car, splots, methods
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Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package RNAither_2.38.0.tar.gz
Windows Binary RNAither_2.38.0.zip
macOS 10.13 (High Sierra) RNAither_2.38.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RNAither
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RNAither
Package Short Url https://bioconductor.org/packages/RNAither/
Package Downloads Report Download Stats

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