bhklab/CREAM: Clustering of Genomic Regions Analysis Method
Version 1.1.1

Provides 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.

Getting started

Package details

Bioconductor views BiomedicalInformatics Clustering FunctionalPrediction PeakDetection
Maintainer
LicenseGPL (>= 3)
Version1.1.1
URL https://github.com/bhklab/CREAM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("bhklab/CREAM")
bhklab/CREAM documentation built on June 3, 2018, 2:35 a.m.