Bioconductor version: Release (3.17)
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 <tim.beissbarth at bioinf.med.uni-goettingen.de>, with contributions from Gordon Smyth <smyth at wehi.edu.au>
Maintainer: Tim Beissbarth <tim.beissbarth at bioinf.med.uni-goettingen.de>
Citation (from within R,
enter citation("sagenhaft")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("sagenhaft")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.70.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 18.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10), SparseM (>= 0.73), methods |
Imports | graphics, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.bioinf.med.uni-goettingen.de |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | sagenhaft_1.70.0.tar.gz |
Windows Binary | sagenhaft_1.70.0.zip (64-bit only) |
macOS Binary (x86_64) | sagenhaft_1.70.0.tgz |
macOS Binary (arm64) | sagenhaft_1.70.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/sagenhaft |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/sagenhaft |
Bioc Package Browser | https://code.bioconductor.org/browse/sagenhaft/ |
Package Short Url | https://bioconductor.org/packages/sagenhaft/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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