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Related Experiment Videos

Pattern recognition in DNA sequences and its application to consensus foot-printing

C Lefèvre1, J E Ikeda

  • 1Genosphere Project, ERATO, JRDC, Tokai University School of Medicine, Kanagawa, Japan.

Computer Applications in the Biosciences : CABIOS
|June 1, 1993
PubMed
Summary
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This study introduces DNA-Lexemics, a program for identifying repeating patterns in nucleic acid sequences. It aids in discovering gene regulatory elements by analyzing word frequency and structure in DNA.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Identifying repeating motifs in nucleic acid sequences is crucial for understanding gene regulation.
  • Current methods may not efficiently handle imperfect matches or large datasets.

Purpose of the Study:

  • To develop and present methods for identifying frequently occurring, imperfectly matching words (motifs) in nucleic acid sequences.
  • To introduce a computational tool, DNA-Lexemics, for analyzing these motifs and their structure.

Main Methods:

  • Treating multiple sequences as a single large sequence for analysis.
  • Creating a lexical index for rapid string matching and word enumeration.
  • Developing interactive sequence profile visualization with on-line algorithms.

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Main Results:

  • The DNA-Lexemics program enables rapid identification and interactive inspection of repeating motifs.
  • The approach effectively enumerates words matching specified patterns (length, frequency).
  • Successful application in identifying regulatory elements in DNA sequences controlling gene expression.

Conclusions:

  • DNA-Lexemics provides an efficient computational approach for motif discovery in nucleic acids.
  • The interactive analysis of sequence profiles aids in understanding functional elements within DNA.
  • This method has practical applications in molecular biology and genomics research.