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Proceedings Paper

FilooT: a visualization tool for exploring genomic data
Author(s): Mahshid Zeinaly; Mina Soltangheis; Chris D. Shaw
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Paper Abstract

In order to enhance analysis of synthetic health data of the IEEE VAST Challenge 2010, we introduce an interactive Visual Analytics tool called FilooT designed as a part of the Interactive Multi-genomic Analysis System (IMAS) project. In this paper, we describe different interactive views of FilooT: the Tabular View for exploring and comparing genetic sequences, the Matrix View for sorting sequences according to the values of different characteristics, the P-value View for finding the most important mutations across a family of sequences, the Graph View for finding related sequences and the Group View to group them for further investigation. We followed the Nested Process Model framework throughout the design process and the evaluation. To understand the tool's design capabilities for target domain analysts, we conducted a User Experience scenario-based study followed by an informal interview. The findings indicated how analysts employ each of the visualization and interaction designs in their Bioinformatics task-analysis process. The critical analysis of the results inspired design informing suggestions.

Paper Details

Date Published: 3 February 2014
PDF: 12 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 901702 (3 February 2014); doi: 10.1117/12.2042589
Show Author Affiliations
Mahshid Zeinaly, Simon Fraser Univ. (Canada)
Mina Soltangheis, Simon Fraser Univ. (Canada)
Chris D. Shaw, Simon Fraser Univ. (Canada)


Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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