Genomic information is encoded on a wide range of distance scales, ranging from tens of bases to megabases. We developed a multiscale framework to analyze and visualize the information content of genomic signals. Different types of signals, such as G+C content or DNA methylation, are characterized by distinct patterns of signal enrichment or depletion across scales spanning several orders of magnitude. These patterns are associated with a variety of genomic annotations. By integrating the information across all scales, we demonstrated improved prediction of gene expression from polymerase II chromatin immunoprecipitation sequencing (ChIP-seq) measurements, and we observed that gene expression differences in colorectal cancer are related to methylation patterns that extend beyond the single-gene scale. Our software is available at https://github.com/tknijnen/msr/. © 2014 Nature America, Inc.
CITATION STYLE
Knijnenburg, T. A., Ramsey, S. A., Berman, B. P., Kennedy, K. A., Smit, A. F. A., Wessels, L. F. A., … Shmulevich, I. (2014). Multiscale representation of genomic signals. Nature Methods, 11(6), 689–694. https://doi.org/10.1038/nmeth.2924
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