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Related Experiment Video

Updated: May 27, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

MetaBase--the wiki-database of biological databases.

Dan M Bolser¹, Pierre-Yves Chibon, Nicolas Palopoli

¹Personal Genomics Institute, Genome Research Foundation, Suwon 443-270, South Korea. dan.bolser@gmail.com

Nucleic Acids Research

|December 6, 2011

Summary

This summary is machine-generated.

MetaBase is a community-curated database organizing over 2000 biological databases. This resource helps researchers effectively find and utilize biological data, leveraging a Wikipedia-like platform for contributions.

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Published on: August 15, 2019

Area of Science:

Bioinformatics
Biological Databases
Data Management

Background:

The exponential growth of biological data necessitates efficient organization of public databases.
Existing resources require curation and rating for optimal exploitation by the scientific community.

Purpose of the Study:

To introduce MetaBase, a community-curated repository for biological databases.
To provide a searchable and browsable catalog of over 2000 biological resources.

Main Methods:

MetaBase utilizes MediaWiki technology, similar to Wikipedia, for community contributions and curation.
Database entries are structured with templates and support user annotations.
Content is initially derived from the Nucleic Acids Research Database Issue and supplemented by literature and user submissions.

Main Results:

MetaBase currently contains over 2000 commonly used biological databases.
The platform supports diverse user interactions including searching, listing, browsing, and querying.
The database is updated annually with the Nucleic Acids Research Molecular Biology Database Collection.

Conclusions:

MetaBase serves as a vital, community-driven resource for navigating the expanding landscape of biological databases.
Its collaborative nature ensures continuous growth and relevance for biological research.