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Detalle de: A comprehensive database for integrated analysis of omics data in autoimmune diseases

Title A comprehensive database for integrated analysis of omics data in autoimmune diseases
Abstract

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.

Source: Crossref

Apa Reference Martorell-Marugán, J., López-Domínguez, R., García-Moreno, A., Toro-Domínguez, D., Villatoro-García, J.A., 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, M.E. & Carmona-Sáez, P. (2021). A comprehensive database for integrated analysis of omics data in autoimmune diseases. BMC Bioinformatics, 22(1). 10.1186/s12859-021-04268-4
Doi 10.1186/s12859-021-04268-4
Publication Date 24 Jun 2021
Publication Type Article
Ontology Omics, Transcriptomics, Biological Databases, Expression Profiling, Statistical Methods for Biology, Pathway analysis
Researchers Pedro Carmona-Saez
Research Groups
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