NarrowPeaks

Analysis of Variation in ChIP-seq using Functional PCA

Bioconductor version: 2.14

The package applies a functional version of principal component analysis (FPCA) to: (1) Process data in wiggle track format (WIG) commonly produced by ChIP-seq peak callers by applying FPCA over a set of read-enriched regions (ChIP-seq peaks). This is done in order to shorten the genomic locations accounting for a given proportion of variation among the enrichment-score profiles. The function 'narrowpeaks' allows splitting and trimming binding sites in close proximity to each other, narrowing down the length of the putative transcription factor binding sites while preserving the information present in the variability of the dataset and capturing major sources of variation. (2) Analyse differential variation between multiple ChIP-seq samples with replicates. The function 'bigwigdiff' quantifies differences between the shapes, and uses Hotelling's T2 tests on the functional principal component scores to identify significant differences between conditions.

Author: Pedro Madrigal <pm59 at cam.ac.uk>, with contributions from Pawel Krajewski <pkra at igr.poznan.pl>

Maintainer: Pedro Madrigal <pmb59 at cam.ac.uk>

Installation

To install this package, start R and enter:

source("http://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.