Kingston University Research & Innovation Reports (KURIR), Vol. 8, 2012.
ISSN/ISBN: 1749-5652 DOI: Not available at this time.
Abstract: Recent research suggests that gene distribution on chromosomes can be informative about their nature. Consequently, gene distribution analysis may contribute not only to better gene detection, but also to better gene annotation, which is particularly important to high-throughput genome projects. This paper investigates possible mathematical models, namely Benford’s and Zipf’s law, to describe gene’s position distributions on human chromosomes. After a review of phenomena following either of these laws, it is shown that observance of Benford’s law has to be rejected. However, most human chromosomes display gene distributions which can be accurately modelled by Zipf’s law. This discovery may impact the analysis of genome sequence data since the proposed gene distribution model could be integrated in software involved in gene detection.
Bibtex:
@TechReport{,
AUTHOR = {Nebel, Jean-Christophe and Pezzulli, Sergio},
TITLE = {Distribution of Human Genes Observes Zipf's Law},
INSTITUTION = {Kingston University},
YEAR = {2012},
TYPE = {Research & Innovation Reports},
NUMBER = {8},
}
Reference Type: Journal Article
Subject Area(s): Biology