Identifikation von potenziellen Transkriptionsfaktorbindestellen in Nukleotidsequenzen basierend auf einem Data-Warehouse-System

Hippe K. Identifikation von potenziellen Transkriptionsfaktorbindestellen in Nukleotidsequenzen basierend auf einem Data-Warehouse-System. Bielefeld: Bielefeld University; 2014

Data Warehouses in Bioinformatics: Integration of Molecular Biological Data

Kormeier B, Hippe K, Hofestädt R. Data Warehouses in Bioinformatics: Integration of Molecular Biological Data. it Information Technology. 2011;53(5):241-249

CardioVINEdb: a data warehouse approach for integration of life science data in cardiovascular diseases

Kormeier B, Hippe K, Töpel T, Hofestädt R. CardioVINEdb: a data warehouse approach for integration of life science data in cardiovascular diseases. Journal of Integrative Bioinformatics. 2010;7(1): 142

DAWIS-M.D. 2.0 - A Data Warehouse Information System for Metabolic Data

Hippe K, Kormeier B, Janowski SJ, Töpel T, Hofestädt R. DAWIS-M.D. 2.0 - A Data Warehouse Information System for Metabolic Data. In: Proceedings of the 7th International Symposium on Integrative Bioinformatics. 2011

DAWIS-M.D. - A Data Warehouse System for Metabolic Data

Hippe K, Kormeier B, Töpel T, Janowski SJ, Hofestädt R. DAWIS-M.D. - A Data Warehouse System for Metabolic Data. In: Informatik 2010: Service Science - neue Perspektiven für die Informatik. LNI. Vol 176. Bonn: Ges. für Informatik; 2010: 720-725

Reconstruction of biological networks based on life science data integration

For the implementation of the virtual cell, the fundamental question is how to model and simulate complex biological networks. Therefore, based on relevant molecular database and information systems, biological data integration is an essential step in constructing biological networks. In this paper, we will motivate the applications BioDWH - an integration toolkit for building life science data warehouses, CardioVINEdb - a information system for biological data in cardiovascular-disease and VANESA- a network editor for modeling and simulation of biological networks. Based on this integration process, the system supports the generation of biological network models. A case study of a cardiovascular-disease related gene-regulated biological network is also presented

Reconstruction of biological networks based on life science data integration

Kormeier B, Hippe K, Arrigo P, Töpel T, Janowski SJ, Hofestädt R. Reconstruction of biological networks based on life science data integration. Journal of Integrative Bioinformatics. 2010;7(2):3-8.For the implementation of the virtual cell, the fundamental question is how to model and simulate complex biological networks. Therefore, based on relevant molecular database and information systems, biological data integration is an essential step in constructing biological networks. In this paper, we will motivate the applications BioDWH--an integration toolkit for building life science data warehouses, CardioVINEdb--a information system for biological data in cardiovascular-disease and VANESA--a network editor for modeling and simulation of biological networks. Based on this integration process, the system supports the generation of biological network models. A case study of a cardiovascular-disease related gene-regulated biological network is also presented

CARDIOVINEdb: a data warehouse approach for integration of life science in cardiovascular diseases

Kormeier B, Hippe K, Töpel T, Hofestädt R. CARDIOVINEdb: a data warehouse approach for integration of life science in cardiovascular diseases. In: Fischer S, Maehle E, Reischuk R, eds. Im Focus das Leben. 39. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 28.9. bis 2.10.2009, Universität zu Lübeck. Bonn: Gesellschaft für Informatik (GI); 2009: 704-708

VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications

Brinkrolf C, Janowski SJ, Kormeier B, et al. VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics. 2014;11(2):239.VANESA is a modeling software for the automatic reconstruction and analysis of biological networks based on life-science database information. Using VANESA, scientists are able to model any kind of biological processes and systems as biological networks. It is now possible for scientists to automatically reconstruct important molecular systems with information from the databases KEGG, MINT, IntAct, HPRD, and BRENDA. Additionally, experimental results can be expanded with database information to better analyze the investigated elements and processes in an overall context. Users also have the possibility to use graph theoretical approaches in VANESA to identify regulatory structures and significant actors within the modeled systems. These structures can then be further investigated in the Petri net environment of VANESA. It is platform-independent, free-of-charge, and available at http://vanesa.sf.net

VANESA - A Software Application for the Visualization and Analysis of Networks in Systems Biology Applications

VANESA is a modeling software for the automatic reconstruction and analysis of biological networks based on life-science database information. Using VANESA, scientists are able to model any kind of biological processes and systems as biological networks. It is now possible for scientists to automatically reconstruct important molecular systems with information from the databases KEGG, MINT, IntAct, HPRD, and BRENDA. Additionally, experimental results can be expanded with database information to better analyze the investigated elements and processes in an overall context. Users also have the possibility to use graph theoretical approaches in VANESA to identify regulatory structures and significant actors within the modeled systems. These structures can then be further investigated in the Petri net environment of VANESA. It is platform-independent, free-of-charge, and available at http://vanesa.sf.net