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Related Experiment Videos

tuple_plot: fast pairwise nucleotide sequence comparison with noise suppression.

Karol Szafranski1, Niels Jahn, Matthias Platzer

  • 1Genome Analysis, Leibniz Institute for Age Research, Fritz Lipmann Institute Beutenbergstr. 11, 07745 Jena, Germany. szafrans@fli-leibniz.de

Bioinformatics (Oxford, England)
|June 13, 2006
PubMed
Summary

The tuple_plot program efficiently identifies genomic sequence similarities using a dictionary-based dotplot method. This approach enhances signal-to-noise ratio for improved sequence comparison.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • The tuple_plot software is available under GNU public license.
  • It is accessible at http://genome.fli-leibniz.de/software.html.

Purpose of the Study:

  • To introduce tuple_plot, a novel program for identifying and visualizing local similarities in large genomic sequences.
  • To present a dictionary-based approach for efficient sequence comparison.

Main Methods:

  • Utilizes the dotplot principle for sequence comparison.
  • Constructs a task-specific expectancy model using a dictionary of sequence words.
  • Employs a scoring scheme to attribute significance to word hits.

Main Results:

  • Achieves fast computation with a time complexity of O(N log N).

Related Experiment Videos

  • The dictionary-based method significantly increases the signal-to-noise ratio.

    • Conclusions:

    • tuple_plot effectively identifies and visualizes local similarities in genomic sequences (>= 100 kb).
    • The scoring scheme enhances the accuracy of word-based sequence comparison methods.