PREDA
Position RElated Data Anlysis
Bioconductor version: 2.9
Package for the position related analysis of quantitative functional genomics data.
Author: Francesco Ferrari <francesco.ferrari at unimore.it>
Maintainer: Francesco Ferrari <francesco.ferrari at unimore.it>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PREDA")
To cite this package in a publication, start R and enter:
citation("PREDA")
Documentation
| R Script | PREDA S4-classes | |
| R Script | PREDA tutorial | |
| Reference Manual |
Details
| biocViews | Software, CopyNumberVariants, GeneExpression, Genetics |
| Depends | R (>= 2.9.0), Biobase, lokern (>= 1.0.9), multtest, stats, methods, annotate |
| Imports | |
| Suggests | quantsmooth, qvalue, samr, limma, caTools, affy, PREDAsampledata |
| System Requirements | |
| License | GPL-2 |
| URL | |
| Depends On Me | PREDAsampledata |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.0 |
| Since | Bioconductor 2.9 (R-2.14) |
Package Downloads
| Package Source | PREDA_1.0.0.tar.gz |
| Windows Binary | PREDA_1.0.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | PREDA_1.0.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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