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 |
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