The DOMINO web-server for active module identification analysis

Author:

Levi Hagai1ORCID,Rahmanian Nima2,Elkon Ran34ORCID,Shamir Ron1ORCID

Affiliation:

1. The Blavatnik School of Computer Science, Tel Aviv University , Tel Aviv 69978, Israel

2. University of California , Berkeley, CA 94720, USA

3. Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University , Tel Aviv 69978, Israel

4. Sagol School of Neuroscience, Tel Aviv University , Tel Aviv 69978, Israel

Abstract

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. Availability and implementation The server is available at http://domino.cs.tau.ac.il. Its codebase is available at https://github.com/Shamir-Lab.

Funder

German-Israeli Project [DFG RE

Israel Science Foundation

Len Blavatnik and the Blavatnik Family foundation

Koret-UC Berkeley-Tel Aviv University Initiative in Computational Biology and Bioinformatics

Edmond J. Safra Center for Bioinformatics at Tel-Aviv University

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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