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FDRdb: a manually curated database of fibrotic disease-associated RNAome and high-throughput datasets.

Chengyu WangTingting ChenYuchen MuXuan LiangKai XiongLiqiang AiYunyan GuXingxing FanHaihai Liang
Published in: Database : the journal of biological databases and curation (2022)
Fibrosis is a common and serious disease that exists as a complicated impairment in many organs and triggers a complex cascade of responses. The deregulation of Ribonucleic Acids (RNAs) plays important roles in a variety of organ fibrosis cases. However, for fibrotic diseases, there is still a lack of an integrated platform with up-to-date information on RNA deregulation and high-throughput data. The Fibrotic Disease-associated RNAome database (FDRdb) (http://www.medsysbio.org/FDRdb) is a manually curated database of fibrotic disease-associated RNAome information and high-throughput datasets. This initial release (i) contains 1947 associations between 912 RNAs and 92 fibrotic diseases in eight species; (ii) collects information on 764 datasets of fibrotic diseases; (iii) provides a user-friendly web interface that allows users to browse, search and download the RNAome information on fibrotic diseases and high-throughput datasets and (iv) provides tools to analyze the expression profiles of fibrotic diseases, including differential expression analysis and pathway enrichment. The FDRdb is a valuable resource for researchers to explore the mechanisms of RNA dysregulation in organ fibrosis. Database URL: http://www.medsysbio.org/FDRdb.
Keyphrases
  • high throughput
  • systemic sclerosis
  • idiopathic pulmonary fibrosis
  • single cell
  • rna seq
  • health information
  • adverse drug
  • healthcare
  • machine learning
  • electronic health record
  • big data
  • transcription factor