To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("sagenhaft")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package implements several functions useful for analysis of gene expression data by sequencing tags as done in SAGE (Serial Analysis of Gene Expressen) data, i.e. extraction of a SAGE library from sequence files, sequence error correction, library comparison. Sequencing error correction is implementing using an Expectation Maximization Algorithm based on a Mixture Model of tag counts.
Author: Tim Beissbarth <beissbarth at wehi.edu.au>, with contributions from Gordon Smyth <smyth at wehi.edu.au> and Lavinia Hyde <hyde at wehi.edu.au>.
Maintainer: Tim Beissbarth <beissbarth at wehi.edu.au>
Citation (from within R,
enter citation("sagenhaft")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("sagenhaft")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sagenhaft")
R Script | SAGEnhaft | |
Reference Manual |
biocViews | SAGE, Software |
Version | 1.32.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
License | GPL (>= 2) |
Depends | R (>= 2.10), SparseM (>= 0.73), methods |
Imports | graphics, methods, SparseM, stats, utils |
Suggests | |
System Requirements | |
URL | http://tagcalling.mbgproject.org |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | sagenhaft_1.32.0.tar.gz |
Windows Binary | sagenhaft_1.32.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | sagenhaft_1.32.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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