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: Li Juntao<lij9 at gis.a-star.edu.sg>, Luo Huaien<luoh2 at gis.a-star.edu.sg>, Niranjan Nagarajan <nagarajann at gis.a-star.edu.sg>

To install this package, start R and enter:


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


PDF R Script EDDA Vignette
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, DifferentialExpression, Software
Version 1.0.0
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
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source EDDA_1.0.0.tar.gz
Windows Binary EDDA_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EDDA_1.0.0.tgz
Mac OS X 10.9 (Mavericks) EDDA_1.0.0.tgz
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