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The DOMINO web-server for active module identification analysis
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 poi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004647/ https://www.ncbi.nlm.nih.gov/pubmed/35139202 http://dx.doi.org/10.1093/bioinformatics/btac067 |
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author | Levi, Hagai Rahmanian, Nima Elkon, Ran Shamir, Ron |
author_facet | Levi, Hagai Rahmanian, Nima Elkon, Ran Shamir, Ron |
author_sort | Levi, Hagai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9004647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90046472022-04-13 The DOMINO web-server for active module identification analysis Levi, Hagai Rahmanian, Nima Elkon, Ran Shamir, Ron Bioinformatics Applications Note 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. Oxford University Press 2022-02-09 /pmc/articles/PMC9004647/ /pubmed/35139202 http://dx.doi.org/10.1093/bioinformatics/btac067 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Levi, Hagai Rahmanian, Nima Elkon, Ran Shamir, Ron The DOMINO web-server for active module identification analysis |
title | The DOMINO web-server for active module identification analysis |
title_full | The DOMINO web-server for active module identification analysis |
title_fullStr | The DOMINO web-server for active module identification analysis |
title_full_unstemmed | The DOMINO web-server for active module identification analysis |
title_short | The DOMINO web-server for active module identification analysis |
title_sort | domino web-server for active module identification analysis |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004647/ https://www.ncbi.nlm.nih.gov/pubmed/35139202 http://dx.doi.org/10.1093/bioinformatics/btac067 |
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