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Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs.

Jannes Peeters1, Daniël M Bot1, Gustavo Rovelo Ruiz2

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|February 20, 2024
PubMed
Summary
This summary is machine-generated.

Snowflake is a novel visualization method for microbiome research that displays all observed taxa, including rare ones. This user-friendly tool helps researchers identify unique and shared microbes across samples, offering a comprehensive view of microbiome composition.

Keywords:
metagenomicsmicrobiome compositiontaxonomyvisualization applicationvisualization method

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Area of Science:

  • Microbiome research
  • Bioinformatics
  • Data visualization

Background:

  • Existing microbiome visualization methods often aggregate taxonomic data or omit less abundant taxa.
  • This limits the detailed analysis of microbial community composition and diversity.

Purpose of the Study:

  • To introduce Snowflake, a new visualization method for microbiome research.
  • To provide a comprehensive overview of microbiome composition without losing information on rare taxa.
  • To integrate hierarchical data structures and downstream analysis results with microbiome composition.

Main Methods:

  • Snowflake displays every observed Operational Taxonomic Unit (OTU) or Amplicon Sequence Variant (ASV).
  • It incorporates the data's hierarchical structure and additional information like diversity metrics and metadata.
  • The method was evaluated using the ICE-T methodology.

Main Results:

  • Snowflake was positively received by microbiome research experts.
  • Users found the visualizations user-friendly, detailed, and capable of integrating diverse data.
  • The method effectively distinguishes sample-specific taxa from the core microbiome and highlights compositional differences.

Conclusions:

  • Snowflake offers a powerful and informative approach to visualizing microbiome composition.
  • It enhances the ability to explore microbial community structures and relationships within samples.
  • The availability of an R package facilitates its adoption in microbiome research.