MetaGeneBank

MetaGeneBank aggregates and standardizes deep-sequenced metagenomic data from human fecal specimens to support comparative microbiome analyses and downstream studies in disease research and precision medicine.


Key Features:

  • Standardized Database: Stores and processes raw sequencing files from human fecal metagenomes with unified formats and metadata to enable cross-study comparability.
  • Comprehensive Data Collection: Contains 4,470 raw sequencing files totaling over 12 terabytes from 16 distinct studies covering more than ten disease types and samples from 14 countries.
  • Unified Data-Processing Pipeline: Processes all data using a standardized pipeline to minimize variations introduced during data generation and processing.
  • Metadata and Gene Abundances: Includes detailed sample collection information, sequencing methodology metadata, and gene abundance data.
  • Search and Query Tools: Provides computational tools for searching by descriptive attributes, gene sequences, microbiota taxonomic profiles, and molecular functions.

Scientific Applications:

  • Disease Research: Supports investigation of the role of gut microbiota in diverse diseases using integrated sample, sequencing, and gene abundance data.
  • Precision Medicine: Enables analyses that link microbial compositions and molecular functions to health conditions for precision medicine research.
  • Comparative and Meta-analysis: Facilitates cross-cohort comparisons and meta-analyses, including assessment of the impact of specimen source relative to sequencing centers or platforms on microbiota variation.

Methodology:

Stores 4,470 raw sequencing files and processes all data using a standardized pipeline; supports computational search by descriptive attributes, gene sequences, microbiota profiles, and functions.

Topics

Details

Tool Type:
web application
Added:
4/24/2022
Last Updated:
4/24/2022

Operations

Publications

Shao L, Liao J, Qian J, Chen W, Fan X. MetaGeneBank: a standardized database to study deep sequenced metagenomic data from human fecal specimen. BMC Microbiology. 2021;21(1). doi:10.1186/s12866-021-02321-z. PMID:34592929. PMCID:PMC8485520.

PMID: 34592929
PMCID: PMC8485520
Funding: - National Natural Science Foundation of China: 31870839 - Natural Science Foundation of Zhejiang Province: LZ20H290002 - National Youth Top-notch Talent Support Program: W02070098 - hangzhou medical and health technology project: Z20200052