PT  - JOURNAL ARTICLE
AU  - Hagai Levi
AU  - Nima Rahmanian
AU  - Ran Elkon
AU  - Ron Shamir
TI  - The DOMINO web-server for active module identification analysis
AID  - 10.1101/2021.11.25.469692
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.11.25.469692
4099  - http://biorxiv.org/content/early/2021/11/26/2021.11.25.469692.short
4100  - http://biorxiv.org/content/early/2021/11/26/2021.11.25.469692.full
AB  - 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.Availability and implementation The server is available at http://domino.cs.tau.ac.il. Its codebase is available at https://github.com/Shamir-Lab.Competing Interest StatementThe authors have declared no competing interest.