Complexity: An internet resource for analysis of DNA sequence complexity

86Citations
Citations of this article
107Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The search for DNA regions with low complexity is one of the pivotal tasks of modern structural analysis of complete genomes. The low complexity may be preconditioned by strong inequality in nucleotide content (biased composition), by tandem or dispersed repeats or by palindrome-hairpin structures, as well as by a combination of all these factors. Several numerical measures of textual complexity, including combinatorial and linguistic ones, together with complexity estimation using a modified Lempel-Ziv algorithm, have been implemented in a software tool called 'Complexity' (http://wwwmgs.bionet.nsc.ru/mgs/programs/low_complexity/). The software enables a user to search for low-complexity regions in long sequences, e.g. complete bacterial genomes or eukaryotic chromosomes. In addition, it estimates the complexity of groups of aligned sequences. © Oxford University Press 2004; all rights reserved.

Cite

CITATION STYLE

APA

Orlov, Y. L., & Potapov, V. N. (2004). Complexity: An internet resource for analysis of DNA sequence complexity. Nucleic Acids Research, 32(WEB SERVER ISS.). https://doi.org/10.1093/nar/gkh466

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free