Clustering of Genomic Regions Analysis Method.

CREAM (Clustering of genomic REgions Analysis Method)

Overview

CREAM is a new method for identification of clusters of genomic regions within chromosomes. Primarily, it is used for calling Clusters of cis-Regulatory Elements (COREs). CREAM uses genome-wide maps of genomic regions in the tissue or cell type of interest, such as those generated from chromatin-based assays including DNaseI, ATAC or ChIP-Seq.

CREAM considers proximity of the elements within chromosomes of a given sample to identify COREs in the following steps:

1. It identifies window size or the maximum allowed distance between the elements within each CORE

2. It identifies number of elements which should be clustered as a CORE

3. It calls COREs

4. It filters the COREs with lowest order which does not pass the threshold considered in the approach.

Installation

# Install from CRAN
install.packages('CREAM')

# Installing the development version from GitHub:
# install.packages("devtools")
devtools::install_github("bhklab/CREAM")

Usage

# Identify COREs using CREAM
IdentifiedCOREs <- CREAM( in_path = system.file("extdata", "A549_Chr21.bed", package = "CREAM"), MinLength = 1000, peakNumMin = 2 )

Getting help

Contact us by filing an issue in the CREAM issues page.