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HeatMapViewer: interactive display of 2D data in biology
Guy Yachdav1, Maximilian Hecht2, Metsada Pasmanik-Chor3
1TUM, Department of Informatics, Bioinformatics & Computational Biology, 5748 Garching/ Munich, Germany ; TUM Graduate School of Information Science in Health (GSISH), 85748 Garching/Munich, Germany ; Biosof LLC, New York, NY, 10001, USA.
The HeatMapViewer is a BioJS component for interactive visualization of biological data, such as gene expression and mutational studies. This tool offers scalable graphics for clear heat map displays in web applications.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Visualization
Background:
- Heat maps are crucial for visualizing complex biological data matrices.
- Existing tools may lack interactivity or scalability for diverse biological datasets.
Purpose of the Study:
- To introduce HeatMapViewer, a BioJS component for interactive 2D heat map visualization.
- To demonstrate the utility of HeatMapViewer for gene expression and mutational analysis.
Main Methods:
- Development of a BioJS component for rendering heat maps.
- Integration of scalable graphics technology for adaptive resolution.
- Application to visualize gene expression data and mutability landscape analysis.
Main Results:
- HeatMapViewer provides an interactive and powerful method for visualizing matrix-formatted biological data.
- The component is suitable for diverse data types, including microarray experiments and SNP analysis.
- Scalable graphics ensure adaptability to various resolutions, beneficial for large datasets.
Conclusions:
- HeatMapViewer is a versatile BioJS component for effective biological data visualization.
- It enhances web applications by providing interactive heat maps for gene expression and mutational studies.
- The tool's scalable nature makes it valuable for presenting complex biological data points efficiently.
