TogoTable

TogoTable annotates user-uploaded biological tables by querying Resource Description Framework (RDF) databases and integrating annotations from the Linked Open Data (LOD) network via SPARQL.


Key Features:

  • User-Specified Annotations: Supports specifying which annotations or properties to add to uploaded tables.
  • Integration with RDF-Based Databases: Queries and integrates data from multiple RDF-compliant databases using the W3C Resource Description Framework model.
  • SPARQL Query Language Support: Executes SPARQL queries against SPARQL endpoints for precise retrieval from RDF stores.
  • Cross-Database Linking: Links annotations across databases, for example retrieving Protein Data Bank annotations using GeneID via UniProt RDF.

Scientific Applications:

  • High-throughput data annotation: Automates annotation of large experimental datasets, such as those from high-throughput experiments, by integrating diverse RDF-linked biological data sources.

Methodology:

Uses database identifiers in uploaded tables as query keys to search RDF-based databases through SPARQL endpoints and integrates retrieved annotations into the original dataset.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Ruby
Added:
5/16/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Publications

Kawano S, Watanabe T, Mizuguchi S, Araki N, Katayama T, Yamaguchi A. TogoTable: cross-database annotation system using the Resource Description Framework (RDF) data model. Nucleic Acids Research. 2014;42(W1):W442-W448. doi:10.1093/nar/gku403. PMID:24829452. PMCID:PMC4086138.

Documentation