Literature DB >> 11738708

Discovering patterns in Plasmodium falciparum genomic DNA.

L Stern1, L Allison, R L Coppel, T I Dix.   

Abstract

A method has been developed for discovering patterns in DNA sequences. Loosely based on the well-known Lempel Ziv model for text compression, the model detects repeated sequences in DNA. The repeats can be forward or inverted, and they need not be exact. The method is particularly useful for detecting distantly related sequences, and for finding patterns in sequences of biased nucleotide composition, where spurious patterns are often observed because the bias leads to coincidental nucleotide matches. We show here the utility of the method by applying it to genomic sequences of Plasmodium falciparum. A single scan of chromosomes 2 and 3 of P. falciparum, using our method and no other a priori information about the sequences, reveals regions of low complexity in both telomeric and central regions, long repeats in the subtelomeric regions, and shorter repeat areas in dense coding regions. Application of the method to a recently sequenced contig of chromosome 10 that has a particularly biased base composition detects a long internal repeat more readily than does the conventional dot matrix plot. Space requirements are linear, so the method can be used on large sequences. The observed repeat patterns may be related to large-scale chromosomal organization and control of gene expression. The method has general application in detecting patterns of potential interest in newly sequenced genomic material.

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Year:  2001        PMID: 11738708     DOI: 10.1016/s0166-6851(01)00388-7

Source DB:  PubMed          Journal:  Mol Biochem Parasitol        ISSN: 0166-6851            Impact factor:   1.759


  7 in total

1.  Complexity: an internet resource for analysis of DNA sequence complexity.

Authors:  Y L Orlov; V N Potapov
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Nonlinear dynamical analysis of carbachol induced hippocampal oscillations in mice.

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3.  The complexity landscape of viral genomes.

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Journal:  Gigascience       Date:  2022-08-11       Impact factor: 7.658

4.  Complexity of VTA DA neural activities in response to PFC transection in nicotine treated rats.

Authors:  Ting Y Chen; Die Zhang; Andrei Dragomir; Yasemin M Akay; Metin Akay
Journal:  J Neuroeng Rehabil       Date:  2011-02-27       Impact factor: 4.262

Review 5.  Information theory applications for biological sequence analysis.

Authors:  Susana Vinga
Journal:  Brief Bioinform       Date:  2013-09-20       Impact factor: 11.622

6.  Comparative analysis of long DNA sequences by per element information content using different contexts.

Authors:  Trevor I Dix; David R Powell; Lloyd Allison; Julie Bernal; Samira Jaeger; Linda Stern
Journal:  BMC Bioinformatics       Date:  2007-05-03       Impact factor: 3.169

7.  DNA sequences at a glance.

Authors:  Armando J Pinho; Sara P Garcia; Diogo Pratas; Paulo J S G Ferreira
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

  7 in total

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