To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EDDA")

In most cases, you don't need to download the package archive at all.

EDDA

Experimental Design in Differential Abundance analysis

Bioconductor version: Release (2.14)

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.

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 and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EDDA")

Documentation

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

browseVignettes("EDDA")

 

PDF R Script EDDA Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews ChIPSeq, ExperimentalDesign, Normalization, RNASeq, Sequencing, Software
Version 1.0.2.1
In Bioconductor since BioC 2.14 (R-3.1)
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
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source EDDA_1.0.2.1.tar.gz
Windows Binary EDDA_1.0.2.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EDDA_1.0.2.1.tgz
Mac OS X 10.9 (Mavericks) EDDA_1.0.2.1.tgz
Browse/checkout source (username/password: readonly)
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