Omics Visualizer

Import & Visualize several data for the same node
*Omics Visualizer* allows users to import data tables with multiple rows referring to the same network node and to visualize such data onto networks. This is particularly useful for visualizing post-translational modification sites or peptides identified in proteomics studies as well as data measured under multiple conditions. *Omics Visualizer* enables users to import a data table, connect it to one or more networks, and visualize the connected data onto networks. If the user does not provide a network, *Omics Visualizer* retrieves a network from the [STRING database](https://string-db.org/) using the Cytoscape [stringApp](http://apps.cytoscape.org/apps/stringapp). The *Omics Visualizer* table import mimics the Cytoscape default import process: it handles text and spreadsheet files, the user can select the columns to import and modify the auto-detected type for each. The user can filter the rows from the imported table. To connect a table with a network, the user must select the key columns from the node table and from the data table. *Omics Visualizer* gives the possibility to represent continuous and discrete data from the table onto the network in two ways: either with a pie chart in the node, or with a donut chart around the node. A slice of the chart is a row from the table, and the color represents the value. The charts are drawn by the [enhancedGraphics app](http://apps.cytoscape.org/apps/enhancedgraphics).

1.1.2

Works with Cytoscape 3.7

Release Notes

* Bugfix: Connect * Only shared columns can be used as key to connect a network with a table

1.1.1

Works with Cytoscape 3.7

Release Notes

* Automatically connect a network that was cloned from a connected network * UI changes

1.1

Works with Cytoscape 3.7

Release Notes

* Added Filters * Split Visualizations: We can now have both Pie Charts and Donut Charts on the same node * Added commands * Added Discrete mapping * Use of Palette to use default colors

1.0

Works with Cytoscape 3.7