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

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 i...

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Bibliographische Detailangaben
Hauptverfasser: Martorell-Marugán, Jordi (VerfasserIn) , López-Domínguez, Raúl (VerfasserIn) , García-Moreno, Adrián (VerfasserIn) , Toro-Domínguez, Daniel (VerfasserIn) , Villatoro-García, Juan Antonio (VerfasserIn) , Barturen, Guillermo (VerfasserIn) , Martín-Gómez, Adoración (VerfasserIn) , Troule, Kevin (VerfasserIn) , Gómez-López, Gonzalo (VerfasserIn) , Al-Shahrour, Fátima (VerfasserIn) , González-Rumayor, Víctor (VerfasserIn) , Peña-Chilet, María (VerfasserIn) , Dopazo, Joaquín (VerfasserIn) , Sáez Rodríguez, Julio (VerfasserIn) , Alarcón-Riquelme, Marta E. (VerfasserIn) , Carmona-Sáez, Pedro (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 24 June 2021
In: BMC bioinformatics
Year: 2021, Jahrgang: 22, Pages: 1-14
ISSN:1471-2105
DOI:10.1186/s12859-021-04268-4
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12859-021-04268-4
Verlag, lizenzpflichtig, Volltext: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04268-4
Volltext
Verfasserangaben:Jordi Martorell-Marugán, Raúl López-Domínguez, Adrián García-Moreno, Daniel Toro-Domínguez, Juan Antonio Villatoro-García, Guillermo Barturen, Adoración Martín-Gómez, Kevin Troule, Gonzalo Gómez-López, Fátima Al-Shahrour, Víctor González-Rumayor, María Peña-Chilet, Joaquín Dopazo, Julio Sáez-Rodríguez, Marta E. Alarcón-Riquelme and Pedro Carmona-Sáez
Beschreibung
Zusammenfassung: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.
Beschreibung:Gesehen am 22.09.2021
Beschreibung:Online Resource
ISSN:1471-2105
DOI:10.1186/s12859-021-04268-4