A Solvable Sequence Evolution Model and Genomic Correlations

Simple item page
dc.creatorMesser, Philipp W.
dc.creatorArndt, Peter F.
dc.creatorLässig, Michael
dc.date2005-01-09
dc.date.accessioned2026-07-07T06:18:35Z
dc.date.available2026-07-07T06:18:35Z
dc.descriptionWe study a minimal model for genome evolution whose elementary processes are single site mutation, duplication and deletion of sequence regions and insertion of random segments. These processes are found to generate long-range correlations in the composition of letters as long as the sequence length is growing, i.e., the combined rates of duplications and insertions are higher than the deletion rate. For constant sequence length, on the other hand, all initial correlations decay exponentially. These results are obtained analytically and by simulations. They are compared with the long-range correlations observed in genomic DNA, and the implications for genome evolution are discussed.
dc.description4 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/q-bio/0501010
dc.identifierhttp://arxiv.org/abs/q-bio/0501010
dc.identifierPhysical Review Letters 94, 138103 (2005)
dc.identifierdoi:10.1103/PhysRevLett.94.138103
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/94785
dc.subjectGenomics
dc.subjectStatistical Mechanics
dc.titleA Solvable Sequence Evolution Model and Genomic Correlations
dc.typetext

Files

Collections

arXiv