Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics. Issue Volume 49:Issue W1(2021) (28th May 2021)

• Record Type: Journal Article
• Authors: Ding, Jessica; Blencowe, Montgomery; Nghiem, Thien; Ha, Sung-min; Chen, Yen-Wei; Li, Gaoyan; Yang, Xia
• Is Part Of: Nucleic acids research. Volume 49:Issue W1(2021)
• Page Start: W375
• Page End: W387
• Publication Date: 2021-05-28
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkab405
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: The Mergeomics web server is a flexible online tool for multi-omics data integration to derive biological pathways, networks, and key drivers important to disease pathogenesis and is based on the open source Mergeomics R package. The web server takes summary statistics of multi-omics disease association studies (GWAS, EWAS, TWAS, PWAS, etc.) as input and features four functions: Marker Dependency Filtering (MDF) to correct for known dependency between omics markers, Marker Set Enrichment Analysis (MSEA) to detect disease relevant biological processes, Meta-MSEA to examine the consistency of biological processes informed by various omics datasets, and Key Driver Analysis (KDA) to identify essential regulators of disease-associated pathways and networks. The web server has been extensively updated and streamlined in version 2.0 including an overhauled user interface, improved tutorials and results interpretation for each analytical step, inclusion of numerous disease GWAS, functional genomics datasets, and molecular networks to allow for comprehensive omics integrations, increased functionality to decrease user workload, and increased flexibility to cater to user-specific needs. Finally, we have incorporated our newly developed drug repositioning pipeline PharmOmics for prediction of potential drugs targeting disease processes that were identified by Mergeomics. Mergeomics is freely accessible at http://mergeomics.research.idre.ucla.edu and does not require login. Graphical Abstract: