NOTICE: The Mergeomics webserver will be undergoing routine maintenance Monday, June 17, 2019 - Wednesday, June 19, 2019.
During this time, users may experience interruptions in webserver functionality.
Marker Dependency Filtering
MDF prepares input files for MSEA by correcting for dependency between omics markers (e.g. linkage disequilibrium between SNPs in GWAS).learn more
Marker Set Enrichment Analysis
MSEA detects pathways and networks affected by multidimensional molecular markers (e.g., SNPs, differential methylation sites) associated with a pathological condition. The pipeline can be concluded after MSEA is run, or the results can be used directly in wKDA.learn more
Weighted Key Driver Analysis
wKDA identifies essential regulators of disease-associated pathways and networks and produces the corresponding interactive network visualization. wKDA can be run as a follow-up to MSEA or Meta MSEA; or it can be run as an independent module.learn more
Mergeomics is being actively developed by the Yang Lab in the Department of Integrative Biology and Physiology at UCLA. The Yang Lab at UCLA uses integrative genomics and systems biology approaches to better understand the molecular mechanisms of complex disease.
Arneson, D., Bhattacharya, A., Shu, L., Mäkinen, V., & Yang, X. (2016). Mergeomics: A web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration. BMC Genomics, 17(1). doi:10.1186/s12864-016-3057-8
Get in touch
Please contact Douglas Arneson for any comments, suggestions, or support requests at: darneson[at]ucla[dot]edu