chroGPS: chroGPS2: Generation, visualization and differential analysis of epigenome maps

We provide intuitive maps to visualize, analyze and compare the association between genetic elements based on their epigenetic profiles. The approach is based on Multi-Dimensional Scaling, and includes a parallelized implementation for handling high dimensional datasets. 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. We also provide functions and methods to perform differential analysis of epigenome maps at factor and gene level.

Package details

AuthorOscar Reina, David Rossell
Bioconductor views ChIPSeq ChIPchip Clustering DataRepresentation Epigenetics HistoneModification ImmunoOncology Visualization
MaintainerOscar Reina <[email protected]>
LicenseGPL (>=2.14)
Version2.0.1
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("chroGPS")

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chroGPS documentation built on Dec. 11, 2018, 6 p.m.