gutMEGA

gutMEGA curates and hosts quantitative metagenomic datasets of the human gut microbiota to enable analysis of temporal and spatial variations and associations with phenotypes and diseases.


Key Features:

  • Quantitative dataset corpus: Integrates 59,132 quantification events derived from metagenomic studies of the human gut.
  • Taxonomic coverage: Contains data for 6,457 taxa categorized at seven taxonomic levels: kingdom, phylum, class, order, family, genus, and species.
  • Experimental condition annotation: Includes annotations for 776 experimental conditions spanning diverse physiological and pathological states.
  • Relative abundance measurements: Provides relative abundance data for intestinal microbes linked to specific phenotypes.
  • Compositional and phenotypic metadata: Consolidates composition and phenotypic characteristics of gut microbiota across integrated studies.
  • Temporal and spatial variation data: Supports exploration of temporal and spatial variation in gut microbial communities.

Scientific Applications:

  • Microbiota–health interaction studies: Investigating interactions between gut microbiota and human physiological homeostasis.
  • Disease association analysis: Studying microbial contributions to disease emergence, including associations with cancers and mental health disorders.
  • Phenotype association studies: Associating microbial relative abundances with host phenotypes across integrated datasets.
  • Exploration of spatiotemporal dynamics: Analyzing temporal and spatial variations of gut microbial communities under diverse conditions.

Methodology:

Curation and integration of published metagenomic quantification events into a standardized database annotated by taxonomic level (kingdom to species), experimental condition (776 conditions), and relative abundance measurements (59,132 events across 6,457 taxa).

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
1/30/2021

Operations

Publications

Zhang Q, Yu K, Li S, Zhang X, Zhao Q, Zhao X, Liu Z, Cheng H, Liu Z, Li X. gutMEGA: a database of the human gut MEtaGenome Atlas. Briefings in Bioinformatics. 2020;22(3). doi:10.1093/bib/bbaa082. PMID:32496513.

PMID: 32496513
Funding: - Scientific and Technical Innovative Youth Talents of Guangdong: 2019TQ05Y351 - Guangdong Introducing Innovative and Entrepreneurial Teams: 2017ZT07S096 - National Natural Science Foundation of China: 81772635