Caleydo: connecting pathways and gene expression

Summary: Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in the context of pathways and functions of individual genes. Pathways and gene expression visualizations are placed in a 3D scene where selected entities (i.e. genes) are visually connected. This allows Caleydo to seamlessly integrate interactive gene expression visualization with cross-database pathway exploration

Cash flow : a visualization framework for 3D flow data

Zsfassung in dt. Sprache14

IPT-EGVE Symposium (2007) B. Fröhlich, R. Blach, and R. van Liere (Editors) Optical Magic Lenses and Polarization-Based Interaction Techniques

In this paper we present a novel approach of the magic lens user interface metaphor for large-scale projectorbased displays. We altered a standard polarization-based passive stereo projection setup and employed a standard LCD panel as a purely optical, tangible magic lens device. Due to the properties of polarized light, the modified passive stereo setup can be used to separate two views – a primary and a secondary layer – of the projected data. A non-powered LCD panel serves as magic lens filter, as it rotates the direction of polarized light 90 degrees, providing the user a different view on the projected data. The system is arbitrarly scalable for multiple users and can be applied to numerous applications. Based on the two projection layers resulting from the proposed setup we explored interaction techniques and present some examples of the system

ABSTRACT Extending The Scene Graph With A

Dataflow graphs are a very successful paradigm in scientific visualization, while scene graphs are a leading approach in interactive graphics and virtual reality. Both approaches have their distinct advantages, and both build on a common set of basic techniques based on graph data structures. However, despite these similarities, no unified implementation of the two paradigms exists. This paper presents an indepth analysis of the architectural components of dataflow visualization and scene graphs, and derives a design that integrates both these approaches. The implementation of this design builds on a common software infrastructure based on a scene graph, and extends it with virtualized dataflow, which allows the use of the scene graph structure and traversal mechanism for dynamically building and evaluating dataflow

durch

The main contribution of this work is the fusion of scientific visualization algorithms and a scene graph resulting in a dynamic creation of the data flow model being used. The most important flow visualization techniques will be introduced in this thesis. The current state of the art was analyzed by comparing the most important software packages with a special focus on data flow models being used. CashFlow is based on an object–oriented, dynamic data flow model, which is configurable by an XML-similar file. This proposed dynamic data flow model is based on in direct and indirect linking on nodes inside a scene graph. Thus two loosely coupled corresponding data flow networks are available in addition. The conventional possibility of linking nodes inside the scene graph using their data–fields is also on–hand. In the context of this thesis the CashFlow prototype was implemented 1 demonstrating the proposed concepts. In order to be able to focus on essential aspects the implementation of CashFlow is based on Coin3D, an open source OpenInventor library published by Systems–In–Motion. The number of numerical simulation evolved rapidly since the early 80 th, especially in the field of computer assisted engineering (CAE) sponsored by the automobile industry. The two separate worlds of numerical simulation and real–time graphics approach each other. CashFlow shall be one small contribution establishing ties between these two worlds