The DOMINO web-server for active module identification analysis

Hagai Levi, Nima Rahmanian, Ran Elkon, Ron Shamir*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: Active module identification (AMI) is an essential step in many omics analyses. Such algorithms receive a gene network and a gene activity profile as input and report subnetworks that show significant over-representation of accrued activity signal ('active modules'). Such modules can point out key molecular processes in the analyzed biological conditions. Results: We recently introduced a novel AMI algorithm called DOMINO and demonstrated that it detects active modules that capture biological signals with markedly improved rate of empirical validation. Here, we provide an online server that executes DOMINO, making it more accessible and user-friendly. To help the interpretation of solutions, the server provides GO enrichment analysis, module visualizations and accessible output formats for customized downstream analysis. It also enables running DOMINO with various gene identifiers of different organisms.

Original languageEnglish
Pages (from-to)2364-2366
Number of pages3
JournalBioinformatics
Volume38
Issue number8
DOIs
StatePublished - 15 Apr 2022

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