2020
DOI: 10.12688/f1000research.22280.1
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Visualize omics data on networks with Omics Visualizer, a Cytoscape App

Abstract: Cytoscape is an open-source software used to analyze and visualize biological networks. In addition to being able to import networks from a variety of sources, Cytoscape allows users to import tabular node data and visualize it onto networks. Unfortunately, such data tables can only contain one row of data per node, whereas omics data often have multiple rows for the same gene or protein, representing different post-translational modification sites, peptides, splice isoforms, or conditions. Here, we present a … Show more

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Cited by 65 publications
(26 citation statements)
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“…Gene Ontology (GO) term sorting is performed by combining strength and number of input proteins retrieved for the term. Omics visualizer app ( 22 ) is used to show biologically relevant terms. For the other comparative analyses, two-tailed t-test and ANOVA test were used.…”
Section: Methodsmentioning
confidence: 99%
“…Gene Ontology (GO) term sorting is performed by combining strength and number of input proteins retrieved for the term. Omics visualizer app ( 22 ) is used to show biologically relevant terms. For the other comparative analyses, two-tailed t-test and ANOVA test were used.…”
Section: Methodsmentioning
confidence: 99%
“…Subclusters of highly interconnected proteins were generated with MCODE (default settings) and functional enrichment was obtained from STRING with the human proteome as background. The dynamics of individual Ub sites in response to MG132 and PR619 were visualised on each node using the Omics Visualizer app (1.3.0) for Cytoscape (3.8.2) 83 . A network including PARP1 was generated in the same manner but with a STRING confidence cutoff at 0.7.…”
Section: Methodsmentioning
confidence: 99%
“…Functional interaction networks were built using stringApp (v 1.4.2) in Cytoscape (v 3.6.1), which includes both physical interactions from experimental data and functional associations from curated pathways, automatic text mining, and prediction methods; with a confidence score cutoff of 0.4 [ 7 ]. Finally, transcriptomic data were assembled into a functional network using Omics Visualizer (v 1.3.0) in Cytoscape (3.8.1) [ 8 ]. To avoid inference of interdependence between gene expression levels and their functional links, the edges from the networks including transcriptomic data were removed.…”
Section: Methodsmentioning
confidence: 99%