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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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BiomMiner: An advanced exploratory microbiome analysis and visualization pipeline.

Amirhossein Shamsaddini1, Kimia Dadkhah1, Patrick M Gillevet1

  • 1Microbiome Analysis Center, George Mason University, Manassas, Virginia, United States of America.

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|June 20, 2020
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Summary

BiomMiner is a new tool simplifying microbiome data analysis for clinical use. It helps researchers and doctors understand the link between the microbiome and health without needing extensive bioinformatics skills.

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Area of Science:

  • Microbiome research
  • Bioinformatics
  • Clinical diagnostics

Background:

  • Current microbiome analysis demands significant bioinformatics expertise, limiting its clinical application.
  • There is a growing need for user-friendly computational tools to bridge the gap between microbiome data and clinical insights.

Purpose of the Study:

  • To develop an automated, user-friendly pipeline for comprehensive microbiome data analysis.
  • To enable clinicians and scientists to easily explore microbiome-health correlations.

Main Methods:

  • Developed BiomMiner, an automated bioinformatics pipeline.
  • Implemented features for taxonomic signature identification.
  • Integrated actionable clinical report generation and web-enabled visualizations.

Main Results:

  • BiomMiner provides a comprehensive analysis of microbiome data.
  • The pipeline identifies key taxonomic signatures.
  • Actionable clinical reports and visualizations are generated for easier interpretation.

Conclusions:

  • BiomMiner addresses the need for accessible microbiome analysis tools in clinical settings.
  • Facilitates efficient statistical analysis and data mining of large microbiome datasets.
  • Aims to enhance the integration of microbiome data into clinical practice and research.