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Sequences01:29

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Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where...
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Related Experiment Video

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Novel Sequence Discovery by Subtractive Genomics
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Sequence Bundles: a novel method for visualising, discovering and exploring sequence motifs.

Marek Kultys1, Lydia Nicholas1, Roland Schwarz2

  • 1Science Practice Ltd, London, 83-85 Paul Street, EC2A 4NQ, UK.

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|September 20, 2014
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Summary

Sequence Bundles is a new bioinformatics visualization method for multiple sequence alignments (MSAs). It reveals hidden sequence motifs and conservation patterns, offering insights beyond traditional tools like Sequence Logos.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Visualization

Background:

  • Existing bioinformatics visualization methods, such as Sequence Logos, have limitations in representing complex data.
  • Novel data visualization methods are needed to address these limitations and reveal hidden patterns in biological data.

Purpose of the Study:

  • Introduce Sequence Bundles, a novel visualization method for multiple sequence alignments (MSAs).
  • Enable salient visual expression of sequence motifs and other data features.
  • Address limitations of existing bioinformatics visualization methods.

Main Methods:

  • Developed Sequence Bundles using research-led information design methodologies.
  • Encoded sequences as uninterrupted, semi-opaque lines on a 2D reconfigurable grid.
  • Utilized line thickness, opacity, and curved paths to represent conservation, correlation, and functionality.

Main Results:

  • Developed a software application for generating Sequence Bundles visualizations.
  • Discovered interesting features in MSAs, including extreme sequence conservation and consensus sequence bifurcations.
  • Demonstrated the ability to visualize multiple MSAs in a composite image.

Conclusions:

  • Sequence Bundles is a novel method for MSA visualization and sequence motif discovery.
  • Aids in generating new insights and hypotheses.
  • Well-suited for future interactive visual analytics software development.