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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Jun 24, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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MicroEXPERT: Microbiome profiling platform with cross-study metagenome-wide association analysis functionality.

Pengshuo Yang1,2, Jialiang Yang3,4,5, Haixia Long6

  • 1Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology College of Life Science and Technology, Huazhong University of Science and Technology Wuhan Hubei China.

Imeta
|June 13, 2024
PubMed
Summary
This summary is machine-generated.

MicroEXPERT is a five-module platform for analyzing microbial community data. It facilitates data management, processing, metagenome-wide association studies (MWAS), sequence searching, and result visualization for comprehensive microbiome insights.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbiome research generates vast datasets requiring sophisticated analytical tools.
  • Integrating data management, processing, and analysis is crucial for efficient microbiome studies.

Purpose of the Study:

  • To introduce the MicroEXPERT platform, a comprehensive system for microbiome data analysis.
  • To outline the functionalities of the five integrated modules within the MicroEXPERT platform.

Main Methods:

  • Data management: Guided workflow for uploading raw data and metadata.
  • Data processing: Generation of taxonomical and functional profiles.
  • Metagenome-wide association studies (MWAS): Biomarker analysis, PCA, network analysis, and classification.
  • Data search: Nucleotide sequence querying against the MicroEXPERT database.
  • Data visualization: Tools for presenting metagenomic analysis results.

Main Results:

  • The platform provides a unified environment for the entire microbiome analysis pipeline.
  • Users can perform complex analyses, from data input to result interpretation.
  • The integrated approach enhances the efficiency and accessibility of microbiome research.

Conclusions:

  • MicroEXPERT offers a robust framework for microbiome data analysis.
  • The platform supports diverse analytical approaches, including MWAS and sequence searching.
  • It empowers researchers with tools for comprehensive microbiome investigation.