ADEx: Autoimmune Diseases Explorer
ADEx: Autoimmune Diseases Explorer provides a centralized database and analysis hub of 82 curated transcriptomics and methylation studies comprising 5,609 samples from prevalent autoimmune diseases to enable integrative analyses of gene expression and epigenetic modifications.
Key Features:
- Extensive Data Integration: Integrates 82 meticulously curated transcriptomics and methylation studies totaling 5,609 samples from prevalent autoimmune diseases.
- Advanced Analytical Tools: Supports meta-analyses, differential expression analyses, and pathway analyses on the integrated datasets.
- Homogeneous Data Processing: Applies homogeneous processing and standardization across studies to enable reliable cross-study comparisons and integrative analyses.
Scientific Applications:
- Biomarker discovery: Enables identification of diagnostic markers and potential therapeutic targets by combining transcriptomics and methylation evidence.
- Mechanistic investigation: Facilitates exploration of gene expression patterns and epigenetic modifications associated with autoimmune pathologies.
- Cross-study meta-analysis: Supports meta-analyses across independent studies to increase statistical power and reproducibility of findings.
Methodology:
Curates and integrates omics datasets, applies homogeneous processing and standardization, and performs differential expression analyses, meta-analyses, pathway analyses, and related statistical analyses on the curated data.
Topics
Collections
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Windows, Linux, Mac
- Programming Languages:
- R, SQL
- Added:
- 1/18/2021
- Last Updated:
- 6/9/2022
Operations
Publications
Martorell-Marugán J, López-Domínguez R, García-Moreno A, Toro-Domínguez D, Villatoro-García JA, Barturen G, Martín-Gómez A, Troule K, Gómez-López G, Al-Shahrour F, González-Rumayor V, Peña-Chilet M, Dopazo J, Sáez-Rodríguez J, Alarcón-Riquelme ME, Carmona-Sáez P. A comprehensive database for integrated analysis of omics data in autoimmune diseases. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04268-4. PMID:34167460. PMCID:PMC8223391.