title: Shape-based alignment of genomic landscapes in multi-scale resolution.
abstract: Due to dramatic advances in DNA technology, quantitative measures of annotation data can now be obtained in continuous coordinates across the entire genome, allowing various heterogeneous 'genomic landscapes' to emerge. Although much effort has been devoted to comparing DNA sequences, not much attention has been given to comparing these large quantities of data comprehensively. In this article, we introduce a method for rapidly detecting local regions that show high correlations between genomic landscapes. We overcame the size problem for genome-wide data by converting the data into series of symbols and then carrying out sequence alignment. We also decomposed the oscillation of the landscape data into different frequency bands before analysis, since the real genomic landscape is a mixture of embedded and confounded biological processes working at different scales in the cell nucleus. To verify the usefulness and generality of our method, we applied our approach to well investigated landscapes from the human genome, including several histone modifications. Furthermore, by applying our method to over 20 genomic landscapes in human and 12 in mouse, we found that DNA replication timing and the density of Alu insertions are highly correlated genome-wide in both species, even though the Alu elements have amplified independently in the two genomes. To our knowledge, this is the first method to align genomic landscapes at multiple scales according to their shape.
authors.affiliation: Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8561, Japan. hzxx51@gmail.com
authors.forename: Hiroki
authors.initials: H
authors.lastname: Ashida
authors.forename: Kiyoshi
authors.initials: K
authors.lastname: Asai
authors.forename: Michiaki
authors.initials: M
authors.lastname: Hamada
mesh_terms: D020087:Alu Elements; D000818:Animals; D042522:DNA Replication Timing; D053595:Embryonic Stem Cells / Q000502:physiology; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D006657:Histones / Q000378:metabolism; D006801:Humans; D051379:Mice; D018626:Retroelements; D016415:Sequence Alignment / Q000379:methods
chemical_list: D006657:Histones; D018626:Retroelements