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Related Experiment Videos

CrossLink: visualization and exploration of sequence relationships between (micro) RNAs.

Tobias Dezulian1, Martin Schaefer, Roland Wiese

  • 1Department of Algorithms in Bioinformatics, Center for Bioinformatics Tübingen, Tübingen University, D-72076 Tübingen, Germany.

Nucleic Acids Research
|July 18, 2006
PubMed
Summary

CrossLink visualizes RNA sequence relationships using network analysis. This tool aids in understanding microRNA interactions by identifying sequence matches and hybridization patterns.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Exploring relationships between RNA sequences is crucial for understanding biological functions.
  • Identifying sequence matches and hybridization patterns is key for RNA-protein and RNA-RNA interactions.

Purpose of the Study:

  • To introduce CrossLink, a versatile bioinformatics tool for exploring RNA sequence relationships.
  • To facilitate the analysis of sequence interactions, particularly in the context of microRNA targets.

Main Methods:

  • CrossLink integrates established tools like BLAST, Vmatch, and RNAhybrid for sequence comparison.
  • It constructs a network where nodes represent sequences and links represent matches, with attributes visualized graphically.
  • The tool offers interactive features including histograms of match attributes, sequence set highlighting, and adjustable thresholds.

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Main Results:

  • CrossLink successfully visualizes complex RNA sequence relationships through network construction.
  • The tool provides detailed insights into match attributes like E-value and sequence identity.
  • It enables efficient exploration and filtering of sequence interactions, especially for microRNA-target analysis.

Conclusions:

  • CrossLink is a powerful and versatile tool for RNA sequence relationship exploration.
  • Its network-based approach and interactive features enhance the understanding of sequence interactions.
  • The tool is particularly valuable for microRNA research, aiding in the identification of target interactions.