Journal
BMC BIOINFORMATICS
Volume 22, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12859-021-04268-4
Keywords
Autoimmune disease; Database; GEO; Transcriptomics; Epigenomics; Curation; Dataset; Interferon signature; Gene expression; Meta-analysis
Categories
Funding
- FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento [CV20-36723]
- Consejeria de Salud [PI-0173-2017]
- EU/EFPIA Innovative Medicines Initiative Joint Undertaking PRECISESADS [115565]
- Ministerio de Economia, Industria y Competitividad
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Autoimmune Diseases Explorer is the first omics database focused on autoimmune diseases, integrating 82 curated transcriptomics and methylation studies covering 5609 samples. It provides advanced data analysis methods such as meta-analysis, differential expression, and pathway analysis for researchers.
Background: Autoimmune diseases are heterogeneous pathologies with difficult diagnosis and few therapeutic options. In the last decade, several omics studies have provided significant insights into the molecular mechanisms of these diseases. Nevertheless, data from different cohorts and pathologies are stored independently in public repositories and a unified resource is imperative to assist researchers in this field. Results: Here, we present Autoimmune Diseases Explorer (https://adex.genyo.es), a database that integrates 82 curated transcriptomics and methylation studies covering 5609 samples for some of the most common autoimmune diseases. The database provides, in an easy-to-use environment, advanced data analysis and statistical methods for exploring omics datasets, including meta-analysis, differential expression or pathway analysis. Conclusions: This is the first omics database focused on autoimmune diseases. This resource incorporates homogeneously processed data to facilitate integrative analyses among studies.
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