An optimal DNA segmentation based on the MDL principle.

TitleAn optimal DNA segmentation based on the MDL principle.
Publication TypeJournal Article
Year of Publication2005
AuthorsSzpankowski W, Ren W, Szpankowski L
JournalInt J Bioinform Res Appl
Volume1
Issue1
Pagination3-17
Date Published2005
ISSN1744-5485
KeywordsAlgorithms, Base Sequence, Binding Sites, Chromosome Mapping, Chromosomes, Human, Pair 20, Chromosomes, Human, Pair 9, Computational Biology, CpG Islands, DNA, Female, Humans, Male, Models, Genetic, Models, Statistical, Molecular Sequence Data, Mutation, Ribosomes, Sequence Analysis, DNA, Sex Factors, Stochastic Processes
Abstract

The biological world is highly stochastic and inhomogeneous in its behaviour. There are regions in DNA with a high concentration of G or C bases; stretches of sequences with an abundance of CG dinucleotide (CpG islands); coding regions with strong periodicity-of-three pattern, and so forth. Transitions between these regions of DNA, known also as change points, carry important biological information. Computational methods used to identify these homogeneous regions are called segmentations. Viewing a DNA sequence as a non-stationary process, we apply recent novel techniques of universal source coding to discover stationary (possibly recurrent) segments. In particular, the Stein-Ziv lemma is adopted to find an asymptotically optimal discriminant function that determines whether two DNA segments are generated by the same source assuring exponentially small false positives. Next, we use the Minimum Description Length (MDL) principle to select parameters that lead to a linear-time segmentation algorithm. We apply our algorithm to human chromosome 9 and chromosome 20 to discover coding and noncoding regions, starting positions of genes, as well as the beginning of CpG islands.

PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/18048118?dopt=Abstract
Publisher URLhttp://inderscience.metapress.com/content/nvuv2c3re2utn2cn/
Alternate TitleInt J Bioinform Res Appl
PubMed ID18048118