MiEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems. Issue Volume 48:Issue W1(2020) (6th May 2020)

• Record Type: Journal Article
• Authors: Kern, Fabian; Fehlmann, Tobias; Solomon, Jeffrey; Schwed, Louisa; Grammes, Nadja; Backes, Christina; Van Keuren-Jensen, Kendall; Craig, David Wesley; Meese, Eckart; Keller, Andreas
• Is Part Of: Nucleic acids research. Volume 48:Issue W1(2020)
• Page Start: W521
• Page End: W528
• Publication Date: 2020-05-06
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa309
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Gene set enrichment analysis has become one of the most frequently used applications in molecular biology research. Originally developed for gene sets, the same statistical principles are now available for all omics types. In 2016, we published the miRNA enrichment analysis and annotation tool (miEAA) for human precursor and mature miRNAs. Here, we present miEAA 2.0, supporting miRNA input from ten frequently investigated organisms. To facilitate inclusion of miEAA in workflow systems, we implemented an Application Programming Interface (API). Users can perform miRNA set enrichment analysis using either the web-interface, a dedicated Python package, or custom remote clients. Moreover, the number of category sets was raised by an order of magnitude. We implemented novel categories like annotation confidence level or localisation in biological compartments. In combination with the miRBase miRNA-version and miRNA-to-precursor converters, miEAA supports research settings where older releases of miRBase are in use. The web server also offers novel comprehensive visualizations such as heatmaps and running sum curves with background distributions. We demonstrate the new features with case studies for human kidney cancer, a biomarker study on Parkinson's disease from the PPMI cohort, and a mouse model for breast cancer. The tool is freely accessible at: https://www.ccb.uni-saarland.de/mieaa2 .