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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Computing and visually analyzing mutual information in molecular co-evolution.

Sebastian Bremm1, Tobias Schreck, Patrick Boba

  • 1Interactive Graphics Systems, Dept, of Computer Science, Technische Universität Darmstadt, Germany. sebastian.bremm@gris.tu-darmstadt.de

BMC Bioinformatics
|June 23, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel visualization tool to analyze mutual information in molecular evolution, aiding in the discovery of co-evolutionary signals within large sequence datasets.

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Area of Science:

  • Molecular Evolution
  • Bioinformatics
  • Computational Biology

Background:

  • Selective pressures in molecular evolution cause uneven amino acid and nucleotide distributions.
  • Biophysical mechanisms create correlations between molecular constituents.
  • Mutual information is effective for quantifying these correlations, but data navigation is challenging.

Purpose of the Study:

  • To develop a tool for visual analysis of mutual information in large biological datasets.
  • To enable interactive exploration of mutual information matrices for identifying co-evolutionary patterns.

Main Methods:

  • Developed a matrix visualization tool for mutual information analysis.
  • Implemented interactive features: filtering, sorting, and weighting.
  • Enabled computation of mutual information matrices from FASTA-formatted sequence alignments.
  • Integrated normalization for neutral evolution models and Z-score mapping.

Main Results:

  • The tool allows real-time navigation and analysis of large mutual information matrices.
  • Identified co-evolutionary signals in HIV1 protease and acetylcholinesterase studies.
  • Functionality was user-driven, addressing real-world research needs.

Conclusions:

  • The tool facilitates the computation and visual analysis of sequence data for co-evolutionary signals.
  • Applicable to diverse matrix-like data, including DNA microarray experiments.
  • Platform-independent Java software is available for academic use under a GPL license.