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.
Package details |
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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 <benjamin.haibe.kains@utoronto.ca> |
License | GPL (>= 3) |
Version | 1.1.1 |
URL | https://github.com/bhklab/CREAM |
Package repository | View on CRAN |
Installation |
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