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.
|Author||Seyed Ali Madani Tonekaboni [aut], Victor Kofia [aut], Mathieu Lupien [aut], Benjamin Haibe-Kains [aut, cre]|
|Bioconductor views||BiomedicalInformatics Clustering FunctionalPrediction PeakDetection|
|Maintainer||Benjamin Haibe-Kains <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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