Caleydo Entourage: analyzing experimental data across multiple pathways

Caleydo Entourage: analyzing experimental data across multiple pathways

Anne Wassermann, Mark Borowsky, Christian Partl, Alexander Lex, Marc Streit, Hanspeter Pfister, and Dieter Schmalstieg.

(IEEE Transactions on Visualization and Computer Graphics, 2016.)

Caleydo Entourage is a visual analysis tool for the exploration of biological pathways, their relationships to other pathways, and associated experimental data. In the visualization we show one focus pathways in full detail, while multiple related pathways are condensed to contextually relevant subsets. The experimental data can be mapped directly onto the pathways. However, to accommodate large and multiple datasets we make use of interactive path extraction. The extracted paths are then shown juxtaposed with experimental data, which allows users to compare samples, groups, and datasets and to reason about downstream effects. To asses the significance of patterns identified in the visualization, we provide methods to interactively run various statistical tests. Caleydo is open source (BSD license) and runs on Windows, MacOSX and Linux as a Java application. Binaries, source code, documentation and instructional videos can be obtained at http://entourage.caleydo.org.