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ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types
Summary: ENViz (Enrichment Analysis and Visualization) is a Cytoscape app that performs joint enrichment analysis of two types of sample matched datasets in the context of systematic annotations. Such datasets may be gene expression or any other high-throughput data collected in the same set of samp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426829/ https://www.ncbi.nlm.nih.gov/pubmed/25577435 http://dx.doi.org/10.1093/bioinformatics/btu853 |
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author | Steinfeld, Israel Navon, Roy Creech, Michael L. Yakhini, Zohar Tsalenko, Anya |
author_facet | Steinfeld, Israel Navon, Roy Creech, Michael L. Yakhini, Zohar Tsalenko, Anya |
author_sort | Steinfeld, Israel |
collection | PubMed |
description | Summary: ENViz (Enrichment Analysis and Visualization) is a Cytoscape app that performs joint enrichment analysis of two types of sample matched datasets in the context of systematic annotations. Such datasets may be gene expression or any other high-throughput data collected in the same set of samples. The enrichment analysis is done in the context of pathway information, gene ontology or any custom annotation of the data. The results of the analysis consist of significant associations between profiled elements of one of the datasets to the annotation terms (e.g. miR-19 was associated to the cell-cycle process in breast cancer samples). The results of the enrichment analysis are visualized as an interactive Cytoscape network. Availability and implementation: ENViz is publically available in the Cytoscape App Store (http://apps.cytoscape.org/apps/enviz). For additional information please visit the tool website: http://www.agilent.com/labs/research/compbio/enviz/ Contact: israel_steinfeld@agilent.com |
format | Online Article Text |
id | pubmed-4426829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44268292015-05-15 ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types Steinfeld, Israel Navon, Roy Creech, Michael L. Yakhini, Zohar Tsalenko, Anya Bioinformatics Applications Notes Summary: ENViz (Enrichment Analysis and Visualization) is a Cytoscape app that performs joint enrichment analysis of two types of sample matched datasets in the context of systematic annotations. Such datasets may be gene expression or any other high-throughput data collected in the same set of samples. The enrichment analysis is done in the context of pathway information, gene ontology or any custom annotation of the data. The results of the analysis consist of significant associations between profiled elements of one of the datasets to the annotation terms (e.g. miR-19 was associated to the cell-cycle process in breast cancer samples). The results of the enrichment analysis are visualized as an interactive Cytoscape network. Availability and implementation: ENViz is publically available in the Cytoscape App Store (http://apps.cytoscape.org/apps/enviz). For additional information please visit the tool website: http://www.agilent.com/labs/research/compbio/enviz/ Contact: israel_steinfeld@agilent.com Oxford University Press 2015-05-15 2015-01-09 /pmc/articles/PMC4426829/ /pubmed/25577435 http://dx.doi.org/10.1093/bioinformatics/btu853 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Steinfeld, Israel Navon, Roy Creech, Michael L. Yakhini, Zohar Tsalenko, Anya ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title | ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title_full | ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title_fullStr | ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title_full_unstemmed | ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title_short | ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types |
title_sort | enviz: a cytoscape app for integrated statistical analysis and visualization of sample-matched data with multiple data types |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426829/ https://www.ncbi.nlm.nih.gov/pubmed/25577435 http://dx.doi.org/10.1093/bioinformatics/btu853 |
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