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3 February 2014 FilooT: a visualization tool for exploring genomic data
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Proceedings Volume 9017, Visualization and Data Analysis 2014; 901702 (2014) https://doi.org/10.1117/12.2042589
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahshid Zeinaly, Mina Soltangheis, and Chris D. Shaw "FilooT: a visualization tool for exploring genomic data", Proc. SPIE 9017, Visualization and Data Analysis 2014, 901702 (3 February 2014); https://doi.org/10.1117/12.2042589
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