Wavelet analysis of DNA walks

Adrian D. Haimovich, Bruce Byrne, Ramakrishna Ramaswamy, William J. Welsh

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

A wavelet transform of the DNA "walk" constructed from a genomic sequence offers a direct visualization of short and long-range patterns in nucleotide sequences. We study sequences that encode diverse biological functions, taken from a variety of genomes. Pattern irregularities in the transform are frequently associated with sequences of biological interest. Exonic regions, for example, visualize differently under wavelet analysis than introns, and ribosomal RNA regions display distinct universal signatures. DNA walk wavelet analysis can provide a sensitive and rapid assessment of the putative biological significance of genomic DNA.

Original languageEnglish (US)
Pages (from-to)1289-1298
Number of pages10
JournalJournal of Computational Biology
Volume13
Issue number7
DOIs
StatePublished - Sep 1 2006

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Computational Mathematics
  • Computational Theory and Mathematics

Keywords

  • DNA walk
  • Genomic analysis
  • Sequence analysis
  • Wavelet transform

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