MOTIVATION: The precise quantification of intracellular metabolic flow rates is of fundamental importance in bio(techno)logy and medical research. The gold standard in the field is metabolic flux analysis (MFA) with 13C-labeling experiments. 13C-MFA workflows orchestrate several, mainly human-in-the-loop, software applications, integrating them with plenty of heterogeneous information. In practice, this had posed a major practical barrier for evaluating, interpreting and understanding isotopic data from carbon labeling experiments. RESULTS: Graphical modeling, interactive model exploration and visual data analysis are the key to overcome this limitation. We have developed a first-of-its-kind graphical tool suite providing scientists with an integrated software framework for all aspects of 13C-MFA. Almost 30 modules (plug-ins) have been implemented for the Omix visualization software. Several advanced graphical workflows and ergonomic user interfaces support major domain-specific modeling and proofreading tasks. With that, the graphical suite is a productivity enhancing tool and an original educational training instrument supporting the adoption of 13C-MFA applications in all life science fields. AVAILABILITY: The Omix Light Edition is freely available at http://www.omix-visualization.com CONTACT: [email protected], [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

For modern SAR data acquisition, bi- and multistatic SAR missions become increasingly important. Established methods for processing monostatic SAR signals need to be adapted to new algorithms for signal processing. In order to support the evolution and development of these new algorithms simulated SAR raw data of arbitrary bi- and multistatic SAR scenarios are essential. This paper refers to a modular SAR simulator, which is able to simulate complex bi- and multistatic SAR scenarios. It focuses on the geometrical simulation approach of the simulator and the computationally intensive synthesis of SAR raw data. The main part descripts the parallel implementation of the radar lobe footprint scan and of the succeeding SAR raw data generation executed on a compute cluster. An example will be shown, which compares the simulation of the same SAR scenario on three different compute systems and their runtimes.

Bi- and multistatic SAR missions are becoming increasingly important for the SAR data acquisition. Established methods for processing monostatic SAR signals and for mission planning have to be adapted to the bi- and multistatic case. To support this evolution, a suitable flexible and powerful simulation tool is essential, which is able to handle such complex scenarios and to provide corresponding simulation data. This paper presents a new simulator architecture. In particular, the modular approach to implement and to simulate this kind of bi- and multistatic SAR scenarios is discussed and an example is given.