New techniques for the interactive navigation, visualization, and analysis of heterogeneous biological networks

Applicant:

Professor Dr. Michael Kaufmann, Tübingen
Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard-Institut für Informatik

Professor Dr. Oliver Kohlbacher, Tübingen
Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard-Institut für Informatik
Arbeitsbereich Simulation biologischer Systeme

Professor Dr. Hans-Peter Lenhof, Saarbrücken
Universität des Saarlandes
Zentrum für Bioinformatik
Gebäude 17.1

Professor Dr.-Ing. Gerhard Weikum, Saarbrücken
Max-Planck-Institut für Informatik
Abteilung 5: Datenbanken und Informationssysteme

Project:

The project develops new techniques for the interactive navigtion, visualization, and analysis of heterogeneous biological networks (Publications)

Summary:

The immense growth in the amount of biological data available requires new concepts to integrate, visualize and analyze these data. Based on an object-oriented modeling of biological concepts and a mapping of these data onto graph representations we will develop new efficient strategies to search and analyze these data through a combination of biological knowledge and efficient graph algorithms. New integrative layout methods for heterogeneous networks (e.g. metabolic networks, regulatory networks, signaling networks, expression data) will yield more comprehensible representations of the complex biological relationships. Solving the underlying problems of optimal layouts with respect to mental map preservation, readability, and consistency across different biological semantics will be addressed. Such layouts form the basis for the second part of the project, the implementation of a data exploration tool allowing the interactive navigation of large-scale datasets merged from publicly accessible data sources and experimental partners. Novel concepts for update management will support timely incorporation of new date, while the smart use of database systems will ensure scalability. This data exploration tool will finally be evaluated in the context of two biomedical applications from cancer research and metabolic engineering.

Presentations: