Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics

Jessica Ding, Montgomery Blencowe, Thien Xuan Nghiem, Sung Min Ha, Yen-Wei Chen, Gaoyan Li, Xia Yang

Nucleic Acids Research · 2021

Read source ↗ All evidence

Summary

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 u

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1093/nar/gkab405
Catalogue ID
SNmoj1yugd-4dejj9
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.