User-driven Data Exploration Integrating Bioimage Informatics and Visualization Technology

Abstract

This paper introduces our visual analysis approach for C. elegans developmental dynamics data obtained by bio-image informatics technology that automatically measures the spatiotemporal dynamics of cells measured with a microscope. We report a prototype of visual analytics system that enables biologists to explore interactively both the phenotypic character network and the gene network of the C. elegans. These two networks are visualized in multi-view and linked based on the relationship between gene and phenotypic character investigated by RNAi technology, contributing to discovery of new knowledge and hypothesis construction in the field of life science. These visualization systems facilitate user-driven data understanding that forms the basis of data-driven science.