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Related Experiment Video

Updated: Dec 13, 2025

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Interactive exploratory data analysis of Integrative Human Microbiome Project data using Metaviz.

Justin Wagner1,2,3, Jayaram Kancherla2,3, Domenick Braccia2,3

  • 1Department of Computer Science, University of Maryland, College Park, College Park, Maryland, 20742, USA.

F1000Research
|June 23, 2021
PubMed
Summary
This summary is machine-generated.

The integrated Human Microbiome Project (HMP) data analysis infrastructure enables researchers to explore microbial community interactions and their impact on human health. This tool facilitates access and analysis of iHMP datasets for disease research.

Keywords:
Intergrative Human Microbiome ProjectR/Bioconductormetagenomicsvisualization

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • The second phase of the Human Microbiome Project (iHMP) generated extensive data on host-microbiome interactions.
  • Understanding these interactions is crucial for investigating their role in human health and disease.

Purpose of the Study:

  • To describe an integrated infrastructure for analyzing iHMP data.
  • To demonstrate the utility of this infrastructure for accessing and analyzing microbiome datasets.

Main Methods:

  • Integration of Metaviz, an interactive microbiome data analysis and visualization tool, with the iHMP Data Coordination Center web portal.
  • Development of the HMP2Data R/Bioconductor package for data access.
  • Application of integrative statistical and visual analyses using Metaviz and the metagenomeSeq R/Bioconductor package for differential abundance analysis.

Main Results:

  • Demonstrated the successful integration of Metaviz with the iHMP data portal and R/Bioconductor packages.
  • Showcased the capability of the infrastructure to perform integrative statistical and visual analyses on iHMP datasets.
  • Validated the utility of the combined approach for accessing and analyzing complex microbiome data.

Conclusions:

  • The developed infrastructure provides a powerful and accessible platform for researchers to analyze iHMP data.
  • This integrated approach facilitates hypothesis testing regarding the impact of microbial communities on human health and disease.
  • The tools described enhance the exploration of host-microbiome interactions using rich iHMP datasets.