FilooT: a visualization tool for exploring genomic data

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 described different interactive views of FilooT: Tabular View for exploring and comparing genetic sequences, Matrix View for sorting sequences according to the values of different characteristics, P-value View for finding the most important mutations across a family of sequences, Graph View for finding related sequences and 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 tools 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.