iHAT

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iHAT: interactive Hierarchical Aggregation Table

The iHAT prototype tool supports the visualization of multiple sequence alignments, associated metadata, and hierarchical clusterings. Moreover, data-type dependent colormaps and aggregation strategies as well as different filtering options support the user in finding correlations between sequences and metadata. Similar to other visualizations such as parallel coordinates or heatmaps, iHAT is aimed at exploiting the human pattern-recognition ability for spotting patterns that might indicate correlation or anticorrelation. Together with its interactive features and a database backend for fast data retrieval, iHAT is a prototype for a visual analytics system for genome-wide association studies.

See the project page for further details.

Release Date:
May, 2012
Status:
Availability:
Data type:
Techniques:
2D
interactive hierarchical aggregation techniques
Software:
Installed
Technology:
Java
Platform:
Linux, Mac OSX
Requirements:
Windows, Mac, Linux

Project development

Institution: VISUS – Visualization Research Center, University of Stuttgart, Germany; University of Tuebingen, Germany