FDRdb
FDRdb consolidates curated associations between Ribonucleic Acids (RNAs) and fibrotic diseases and aggregates high-throughput datasets and analysis tools to study RNA deregulation in organ fibrosis.
Key Features:
- Extensive Data Collection: 1,947 associations between 912 RNAs and 92 distinct fibrotic diseases across eight species are catalogued.
- High-Throughput Dataset Repository: Aggregates metadata and entries from 764 high-throughput datasets relevant to fibrotic diseases.
- Analytical Tools: Provides functionality for analysis of expression profiles, including differential expression analysis and pathway enrichment studies.
Scientific Applications:
- Biomarker and target discovery: Identification of RNAs associated with fibrosis for potential biomarkers and therapeutic targets.
- Comparative analysis and validation: Use of aggregated high-throughput datasets to validate findings and perform comparative studies across experiments.
- Cross-species pathway exploration: Examination of similarities and differences in fibrotic pathways across eight species represented in the database.
Methodology:
Manual curation of literature-derived RNA–fibrosis associations, aggregation of 764 high-throughput datasets, and integration of analytical tools enabling differential expression analysis and pathway enrichment studies.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/28/2023
- Last Updated:
- 1/28/2023
Operations
Publications
Wang C, Chen T, Mu Y, Liang X, Xiong K, Ai L, Gu Y, Fan X, Liang H. FDRdb: a manually curated database of fibrotic disease–associated RNAome and high-throughput datasets. Database. 2022;2022. doi:10.1093/database/baac095. PMID:36367312. PMCID:PMC9650723.
PMID: 36367312
PMCID: PMC9650723
Funding: - National Natural Science Foundation of China: 32270710, 91949109