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Related Experiment Videos

PoInTree: a polar and interactive phylogenetic tree.

Marco Carreras1, Cerreras Marco, Eleonora Gianti

  • 1Nerviano Medical Sciences srl, 20014 Nerviano (MI), Italy. roberta.bosotti@nervianoms.com

Genomics, Proteomics & Bioinformatics
|September 8, 2005
PubMed
Summary
This summary is machine-generated.

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PoInTree is a new application for building and visualizing phylogenetic trees using a polar, interactive view. It aids in interpreting biological data across species by integrating sequence data and visualization tools.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Phylogenetics

Background:

  • Phylogenetic tree visualization is crucial for understanding evolutionary relationships.
  • Existing tools may lack flexibility or interactive features for complex datasets.
  • Interpreting large-scale biological data requires integrated visualization and database connectivity.

Purpose of the Study:

  • To introduce PoInTree, a novel application for constructing and visualizing phylogenetic trees.
  • To provide an interactive and customizable platform for exploring evolutionary relationships.
  • To facilitate the interpretation of sequence data within protein families across species.

Main Methods:

  • PoInTree accepts FASTA or multiple alignment file formats.
  • Phylogenetic tree calculation employs the Neighbor Joining (NJ) algorithm based on sequence distances.

Related Experiment Videos

  • Features include dynamic node manipulation, graphical distance representation, and customizable display options (search, color-coding, labeling).

    • Main Results:

    • PoInTree offers a unique polar, interactive, and flexible view for phylogenetic trees.
    • The application supports pre-calculated trees for major protein families (Pfam).
    • Integration with an Oracle database allows for enhanced data interpretation and cross-species analysis.

    Conclusions:

    • PoInTree provides a powerful and user-friendly tool for phylogenetic analysis.
    • Its interactive features and database connectivity enhance biological data interpretation.
    • The application is valuable for researchers in bioinformatics and evolutionary biology.