This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see Starr.
Bioconductor version: 3.11
Starr facilitates the analysis of ChIP-chip data, in particular that of Affymetrix tiling arrays. The package provides functions for data import, quality assessment, data visualization and exploration. Furthermore, it includes high-level analysis features like association of ChIP signals with annotated features, correlation analysis of ChIP signals and other genomic data (e.g. gene expression), peak-finding with the CMARRT algorithm and comparative display of multiple clusters of ChIP-profiles. It uses the basic Bioconductor classes ExpressionSet and probeAnno for maximum compatibility with other software on Bioconductor. All functions from Starr can be used to investigate preprocessed data from the Ringo package, and vice versa. An important novel tool is the the automated generation of correct, up-to-date microarray probe annotation (bpmap) files, which relies on an efficient mapping of short sequences (e.g. the probe sequences on a microarray) to an arbitrary genome.
Author: Benedikt Zacher, Johannes Soeding, Pei Fen Kuan, Matthias Siebert, Achim Tresch
Maintainer: Benedikt Zacher <zacher at lmb.uni-muenchen.de>
Citation (from within R,
enter citation("Starr")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Starr")
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("Starr")
R Script | Simple tiling array analysis | |
Reference Manual |
biocViews | ChIPchip, DataImport, Microarray, OneChannel, Preprocessing, QualityControl, Software |
Version | 1.43.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (11 years) |
License | Artistic-2.0 |
Depends | Ringo, affy, affxparser |
Imports | pspline, MASS, zlibbioc |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | nucleR |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Starr_1.43.0.tar.gz |
Windows Binary | Starr_1.43.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/Starr |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Starr |
Package Short Url | https://bioconductor.org/packages/Starr/ |
Package Downloads Report | Download Stats |
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