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Easy and interactive taxonomic profiling with Metabuli App.

SunJae Lee1,2,3, Jaebeom Kim2,4, Milot Mirdita2

  • 1Department of Computer Science and Engineering, Seoul National University, Seoul 08826, South Korea.

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Summary

Metabuli App simplifies microbial community analysis by enabling local taxonomic profiling on standard computers. This user-friendly desktop application lowers computational barriers for researchers studying microbial ecosystems.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate taxonomic profiling is essential for understanding microbial communities.
  • Traditional computational analysis often requires advanced technical skills and significant computing power, limiting accessibility.

Purpose of the Study:

  • To develop an accessible, all-in-one desktop application for efficient local metagenomic taxonomic profiling.
  • To lower the barriers to entry for analyzing microbial community composition.

Main Methods:

  • Development of Metabuli App, a desktop application with a graphical user interface.
  • Integration of custom database curation, raw read quality control (QC), and taxonomic profiling functionalities.
  • Implementation of interactive result visualization tools.

Main Results:

  • Metabuli App enables efficient taxonomic profiling on consumer-grade computers.
  • The application provides user-friendly interfaces for various analysis steps.
  • Interactive visualization aids in the interpretation of microbial community data.

Conclusions:

  • Metabuli App democratizes metagenomic analysis by providing an accessible, local solution.
  • The tool enhances the ability of researchers to study microbial communities without requiring high-performance computing or command-line expertise.