chroGPS: visualizing the epigenome

Bioconductor version: Release (2.12)

We provide intuitive maps to visualize the association between genetic elements, with emphasis on epigenetics. The approach is based on Multi-Dimensional Scaling. We provide several sensible distance metrics, and adjustment procedures to remove systematic biases typically observed when merging data obtained under different technologies or genetic backgrounds.

Author: Oscar Reina, David Rossell

Maintainer: Oscar Reina <oscar.reina at>

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PDF R Script Manual for the chroGPS library
PDF   Reference Manual
Text   NEWS


biocViews Clustering, Software, Visualization
Version 1.3.3
In Bioconductor since BioC 2.11 (R-2.16)
License GPL (>=2)
Depends R (>= 2.13.0), IRanges, methods, Biobase, MASS, graphics, stats, rgl, changepoint
Imports graphics, cluster, DPpackage, ICSNP
System Requirements
Depends On Me
Imports Me
Suggests Me

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Package Source chroGPS_1.3.3.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) chroGPS_1.3.3.tgz
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