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OmniViz Tools

OmniViz has a range of proprietary tools that enable you to query, inspect, characterize, or statistically analyze your data. You can, also, retrieve additional information or send data to external applications and/or launch external tools.

 

Query Tools

The query tools allow selection and grouping of records based on user-specified criteria. All employ Boolean logic for creation of complex queries.

Text Query:  Query your Data Set to find specific words, exact phrases, or similarity to an example. Specific word queries can be refined by applying Boolean logic.

Numeric Query:  Identify and select records whose numeric data contain the values you specify. Identify records according to their rank in the Data Set, their number of missing values, or their similarity to an example record.

Dynamic Query: Create automated range queries using both numeric and categorical Column Sets.

 

Inspection Tools

Records that are selected in any visualization or by actions in query tools can be displayed in any of the open inspection tools-Profile Plot, Record Viewer, and Multi-D Plot. Each of the tools focuses on different aspects of the selected records. Highlight modes in the tools allow detailed examination of features, and all the tools can be opened in multiple windows for easy comparison of selected groups.

Profile Plot:  Compare selected records in a parallel coordinate graph showing their numeric and categorical data or vectors derived from text or sequence data.

Multi-D Plot: The Multi-D Plot graphs numerical and categorical data in 2, 3, or 4 dimensions as specified by the user.

Record Viewer: Display the text, numeric, categorical, or sequence information associated with selected records. For records selected with the Text Query tool, query terms are highlighted in the Record Viewer window.

 

Viewers

There are a number of external viewers that you can configure for looking at different types of data, such as protein structures.

Protein Structure Viewer: Gain access to third-party molecular viewers that display protein structures. The structure information should be in a file name contained in a data cell.

PDF File Viewer: Gain access to your pdf file viewer for files referenced in a data record.

Image Viewer: View images in your Data Set using your favorite application. The information in the data cell should be the name of the image file.

URL Viewer (Browser): View additional information about a data record via a URL embedded in a data cell.

 

Characterization Tools

Gist Tool: Get a quick impression of important topics to help you distinguish the content of selected records.

Group Tool: Organize records into sets and compare them using Boolean operations. Records belonging to groups can be highlighted in the Galaxy visualization with a user-defined color.

 

Statistical Tools

Relativity: Investigate how groups relate to each other according to their attribute data, using statistical analysis methods.

 

Retrieval Tools

Telescope: Query PubMed or OMIM based upon objects selected in an OmniViz® visualization. Records retrieved are automatically used to create a new Data Set and view that is clustered on their titles and abstracts.

Connectivity:Send queries based on records to external web sites such as KEGG or GenBank and view results in a browser window.

 

External Tools

The external tools (ClustalX, BLAST, and AppLauncher) are provided in OmniViz® for convenient access to familiar analysis tools.

BLAST: Get convenient local access to BLAST, the public-domain sequence similarity tool.

ClustalX: Get convenient local access to ClustalX for aligning multiple DNA or protein sequences.

AppLauncher: Send data from selected Column Sets to Microsoft Word or Excel. Configure the tool to launch other applications as well.

 

Annotation Tool

The Note Tool lets you capture interesting findings as you explore an OmniViz® View. In conjunction with built-in screen shot and data export capabilities in most tools, the Note Tool allows easy documentation of important data mining results.

Note Tool: Attach a note to a record, cluster, or group, and view all the notes you have added to your Data Set.

 

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