Package: Starr
Version: 1.38.0
Date: 2009-10-12
Title: Simple tiling array analysis of Affymetrix ChIP-chip data
Author: Benedikt Zacher, Johannes Soeding, Pei Fen Kuan, Matthias Siebert, Achim Tresch
Maintainer: Benedikt Zacher <zacher@lmb.uni-muenchen.de>
Depends: Ringo, affy, affxparser
Imports: pspline, MASS, zlibbioc
Description: 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.
License: Artistic-2.0
biocViews:
        Microarray,OneChannel,DataImport,QualityControl,Preprocessing,ChIPchip
LazyLoad: yes
git_url: https://git.bioconductor.org/packages/Starr
git_branch: RELEASE_3_8
git_last_commit: a8d2dc2
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: yes
Packaged: 2018-10-30 23:05:50 UTC; biocbuild
Built: R 3.5.1; x86_64-apple-darwin13.4.0; 2018-12-13 02:14:21 UTC; unix
