Publishing Life Science Data as Linked Open Data: the Case Study of miRBase

TL;DR

This paper details the development of a Linked Open Data infrastructure for microRNA databases, enabling enhanced exploration, querying, and tracking of microRNA data evolution for biological research.

Contribution

It introduces a novel LOD system that integrates legacy microRNA data with change and version information, facilitating advanced biological data analysis.

Findings

LOD server enables exploration of microRNA data and evolution

SPARQL endpoint supports complex queries and data tracking

Enhances data accessibility and historical analysis for biologists

Abstract

This paper presents our Linked Open Data (LOD) infrastructures for genomic and experimental data related to microRNA biomolecules. Legacy data from two well-known microRNA databases with experimental data and observations, as well as change and version information about microRNA entities, are fused and exported as LOD. Our LOD server assists biologists to explore biological entities and their evolution, and provides a SPARQL endpoint for applications and services to query historical miRNA data and track changes, their causes and effects.