NarrowPeaks

Shape-based Analysis of Variation in ChIP-seq using Functional PCA

Bioconductor version: 3.2

The package applies a functional version of principal component analysis (FPCA) to: (1) Postprocess data in wiggle track format, commonly produced by generic ChIP-seq peak callers, by applying FPCA over a set of read-enriched regions (ChIP-seq peaks). This is done to study variability of the the peaks, or to shorten their genomic locations accounting for a given proportion of variation among the enrichment-score profiles. (2) Analyse differential variation between multiple ChIP-seq samples with replicates. The function 'narrowpeaksDiff' quantifies differences between the shapes, and uses Hotelling's T2 tests on the functional principal component scores to identify significant differences across conditions. An application of the package for Arabidopsis datasets is described in Mateos, Madrigal, et al. (2015) Genome Biology: 16:31.

Author: Pedro Madrigal <pm12 at sanger.ac.uk>, Pawel Krajewski <pkra at igr.poznan.pl>

Maintainer: Pedro Madrigal <pm12 at sanger.ac.uk>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("NarrowPeaks")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("NarrowPeaks")

Details

Package Archives

Follow Installation instructions to use this package in your R session.