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ASAR: visual analysis of metagenomes in R.

Askarbek N Orakov1,2, Nazgul K Sakenova1,2, Anatoly Sorokin3,4

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Summary

This study introduces ASAR, an interactive tool for simultaneous metagenomic data analysis. ASAR integrates taxonomic, functional, and metagenomic dimensions for improved microbial community interaction insights.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding microbial community interactions requires both functional and taxonomic analyses.
  • Current methods analyze these dimensions separately, hindering comprehensive interpretation.
  • Metagenomic data analysis is crucial for microbial ecology research.

Purpose of the Study:

  • To present the ASAR interactive tool for simultaneous analysis of metagenomic data.
  • To enable integrated analysis across taxonomy, function, and metagenome dimensions.
  • To simplify the interpretation of complex microbial community interactions.

Main Methods:

  • Development of an interactive data analysis tool named ASAR.
  • Implementation of simultaneous analysis of metagenomic data in three dimensions: taxonomy, function, and metagenome.
  • Integration of functional analysis using SEED hierarchy and KEGG orthology pathways via MG-RAST annotations.

Main Results:

  • ASAR facilitates the selection, aggregation, and visualization of metagenomic data.
  • The tool allows for concurrent examination of taxonomic and functional profiles.
  • Provides pathway diagrams based on KEGG orthology for enhanced functional insights.

Conclusions:

  • ASAR offers a unified approach to metagenomic data analysis.
  • Simultaneous analysis improves the understanding of interspecific interactions in microbial communities.
  • The tool enhances the interpretability of complex metagenomic datasets.