EDDA

This package is for version 3.9 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see EDDA.

Experimental Design in Differential Abundance analysis


Bioconductor version: 3.9

EDDA can aid in the design of a range of common experiments such as RNA-seq, Nanostring assays, RIP-seq and Metagenomic sequencing, and enables researchers to comprehensively investigate the impact of experimental decisions on the ability to detect differential abundance. This work was published on 3 December 2014 at Genome Biology under the title "The importance of study design for detecting differentially abundant features in high-throughput experiments" (http://genomebiology.com/2014/15/12/527).

Author: Li Juntao, Luo Huaien, Chia Kuan Hui Burton, Niranjan Nagarajan

Maintainer: Chia Kuan Hui Burton <chiakhb at gis.a-star.edu.sg>, Niranjan Nagarajan <nagarajann at gis.a-star.edu.sg>

Citation (from within R, enter citation("EDDA")):

Installation

To install this package, start R (version "3.6") and enter:


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

BiocManager::install("EDDA")

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("EDDA")
EDDA Vignette PDF
Reference Manual PDF
NEWS Text

Details

biocViews ChIPSeq, ExperimentalDesign, ImmunoOncology, Normalization, RNASeq, Sequencing, Software
Version 1.22.0
In Bioconductor since BioC 2.14 (R-3.1) (10 years)
License GPL (>= 2)
Depends Rcpp (>= 0.10.4), parallel, methods, ROCR, DESeq, baySeq, snow, edgeR
Imports graphics, stats, utils, parallel, methods, ROCR, DESeq, baySeq, snow, edgeR
System Requirements
URL http://edda.gis.a-star.edu.sg/ http://genomebiology.com/2014/15/12/527
See More
Suggests
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package EDDA_1.22.0.tar.gz
Windows Binary EDDA_1.22.0.zip
Mac OS X 10.11 (El Capitan) EDDA_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EDDA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EDDA
Bioc Package Browser https://code.bioconductor.org/browse/EDDA/
Package Short Url https://bioconductor.org/packages/EDDA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive