RNADisease

RNADisease curates RNA–disease associations across 117 species, 18 RNA types, and 4090 diseases to support analysis of RNA roles in disease pathogenesis.

Key Features:

• Expanded Data Sources: Incorporates data covering 117 species, 18 RNA types, and 4090 diseases, enabling exploration beyond noncoding RNAs in mammals.
• High-Throughput Sequencing Data Analysis: Integrates analyses from thousands of high-throughput sequencing datasets comparing cancerous and normal samples to identify differential RNA expression.
• RNA-Disease Enrichment Tool: Provides an enrichment tool that identifies significant associations between specific RNA molecules and diseases.
• RNA-Disease Prediction Tools: Offers four distinct prediction tools to forecast potential RNA–disease links based on existing data.

Scientific Applications:

• Molecular mechanism investigation: Supports investigation of the molecular underpinnings of disease at the RNA level.
• Biomarker and therapeutic target discovery: Facilitates identification of novel biomarkers and therapeutic targets by linking RNA changes to diseases.
• Comparative genomics and evolutionary biology: Supports comparative genomics and evolutionary biology research by providing cross-species RNA–disease data.
• Cancer research: Assists cancer studies by analyzing differential RNA expression between cancerous and normal samples.

Methodology:

Curation and integration of data from multiple high-throughput sequencing studies, and implementation of enrichment analysis and prediction tools to analyze RNA–disease associations.