TY - JOUR T1 - A comprehensive database for integrated analysis of omics data in autoimmune diseases. JF - BMC Bioinformatics Y1 - 2021 A1 - Martorell-Marugán, Jordi A1 - López-Domínguez, Raúl A1 - García-Moreno, Adrián A1 - Toro-Domínguez, Daniel A1 - Villatoro-García, Juan Antonio A1 - Barturen, Guillermo A1 - Martín-Gómez, Adoración A1 - Troule, Kevin A1 - Gómez-López, Gonzalo A1 - Al-Shahrour, Fátima A1 - González-Rumayor, Víctor A1 - Peña-Chilet, Maria A1 - Dopazo, Joaquin A1 - Saez-Rodriguez, Julio A1 - Alarcón-Riquelme, Marta E A1 - Carmona-Sáez, Pedro KW - Autoimmune Diseases KW - Computational Biology KW - Databases, Factual KW - Humans AB -

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.

VL - 22 IS - 1 U1 - https://www.ncbi.nlm.nih.gov/pubmed/34167460?dopt=Abstract ER -