A stitch in time: Efficient computation of genomic DNA melting bubbles

dc.creatorTøstesen, Eivind
dc.date2008-02-07
dc.date.accessioned2026-07-07T09:51:07Z
dc.date.available2026-07-07T09:51:07Z
dc.descriptionBackground: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses the challenge that a generic search through all combinations of bubble starts and ends is quadratic. Results: An efficient algorithm is described, which shows that the time complexity of the task is O(NlogN) rather than quadratic. The algorithm exploits that bubble lengths may be limited, but without a prior assumption of a maximal bubble length. No approximations, such as windowing, have been introduced to reduce the time complexity. More than just finding the bubbles, the algorithm produces a stitch profile, which is a probabilistic graphical model of bubbles and helical regions. The algorithm applies a probability peak finding method based on a hierarchical analysis of the energy barriers in the Poland-Scheraga model. Conclusions: Exact and fast computation of genomic stitch profiles is thus feasible. Sequences of several megabases have been computed, only limited by computer memory. Possible applications are the genome-wide comparisons of bubbles with promotors, TSS, viral integration sites, and other melting-related regions.
dc.description16 pages, 10 figures
dc.identifierhttps://arxiv.org/abs/0802.1057
dc.identifierhttp://arxiv.org/abs/0802.1057
dc.identifierAlgorithms for Molecular Biology 2008, 3:10
dc.identifierdoi:10.1186/1748-7188-3-10
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/165176
dc.subjectBiomolecules
dc.subjectGenomics
dc.titleA stitch in time: Efficient computation of genomic DNA melting bubbles
dc.typetext

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