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The DOMINO web-server for active module identification analysis.
Levi, Hagai; Rahmanian, Nima; Elkon, Ran; Shamir, Ron.
Afiliación
  • Levi H; The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
  • Rahmanian N; University of California, Berkeley, CA 94720, USA.
  • Elkon R; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
  • Shamir R; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Bioinformatics ; 38(8): 2364-2366, 2022 04 12.
Article en En | MEDLINE | ID: mdl-35139202
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Tipo de estudio: Diagnostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Israel