Improving reusability along the data life cycle: a regulatory circuits case study

Area of Science:

• Life sciences
• Genomics
• Bioinformatics

Background:

• Standardization of life science data is challenging due to non-standard formats.
• The Regulatory Circuits project integrates human cell genomics data but faces limitations in reuse and extension.
• Existing RDF triplestore integration lacked network storage and metadata, hindering data accessibility.

Purpose of the Study:

• To create a flexible and reusable representation of the Regulatory Circuits dataset using Semantic Web technologies.
• To address limitations in data update, reuse, and extension of existing genomics datasets.
• To facilitate integration and enrichment of human cell genomics data.

Main Methods:

• Developed a modular RDF representation named Linked Extended Regulatory Circuits (LERC).
• Organized LERC into 1,205 RDF named graphs for biological data, sample/tissue-specific networks, and metadata.
• Integrated descriptions of biological/experimental context, TF-gene interactions at sample/tissue levels, and metadata.

Main Results:

• LERC provides a modular RDF representation of the Regulatory Circuits dataset.
• Contains annotations for TF-gene interactions at sample (808) and tissue (394) levels.
• Includes 3,910,794,050 triples and is accessible via a SPARQL endpoint.

Conclusions:

• LERC's modular architecture supports biologically-relevant SPARQL queries.
• Facilitates easy and fast querying of Regulatory Circuits data.
• Enhances the reuse of genomics datasets in other studies.