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Phandango: an interactive viewer for bacterial population genomics.

James Hadfield1, Nicholas J Croucher2, Richard J Goater3

  • 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.

Bioinformatics (Oxford, England)
|October 14, 2017
PubMed
Summary
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Phandango is a new web application that helps researchers explore large bacterial population genomics datasets. It integrates various analysis outputs, making complex data more accessible for scientific discovery.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Bacterial population genomics generates vast datasets requiring integrated analysis.
  • Current static representations of genomic analysis results hinder data synthesis.
  • Relating phylogenetic, epidemiological, statistical, and evolutionary data is challenging.

Purpose of the Study:

  • To introduce Phandango, an interactive web application for exploring large-scale bacterial population genomics data.
  • To facilitate the integration of diverse genomic analysis outputs for enhanced data interpretation.

Main Methods:

  • Development of an interactive web application named Phandango.
  • Integration of outputs from multiple genomic analysis methods.
  • Implementation of a user-friendly interface for fast data exploration.

Related Experiment Videos

Main Results:

  • Phandango allows for the intuitive and interactive exploration of complex genomic datasets.
  • The application effectively combines outputs from various genomic analysis tools.
  • Facilitates the synthesis and integration of data across millions of base pairs.

Conclusions:

  • Phandango enables researchers to fully exploit bacterial population genomics data.
  • The application overcomes limitations of static data representations.
  • Provides a powerful tool for advancing research in bacterial population genomics.