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Output details

11 - Computer Science and Informatics

University of Hertfordshire

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Article title

Discriminating coding, non-coding and regulatory regions using rescaled range and detrended fluctuation analysis

Type
D - Journal article
Title of journal
Biosystems
Article number
-
Volume number
91
Issue number
1
First page of article
183
ISSN of journal
0303-2647
Year of publication
2008
URL
-
Number of additional authors
2
Additional information

<28> The identification of regulatory regions is an essential, but still problematical step to obtain a deeper understanding of the regulation of genes. This study shows that fractal dimensionality, as an alternative measurement of structural complexity, offers a powerful way to distinguish regulatory regions from other functional parts of the genome (e.g. protein-coding DNA). Instead of the conventional assumption of serial stationarity of the nucleotide sequence, it exploits the fact that such homogeneity is often absent to distinguish regulatory from coding and non-coding, non-regulatory DNA.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-