Technological advances in high-throughput techniques and efficient
data acquisition methods have resulted in a massive amount of life
science data. This data is stored in numerous databases that have
been established over the last decades and that are essential
resources for scientists nowadays. However, the diversity of the
databases and the underlying data models makes it difficult to
combine this information for solving complex problems in systems
biology. This book presents BN++, the biochemical network library,
a powerful software package for integrating, analyzing, and
visualizing biochemical data in the context of networks. BN++ is
based on a comprehensive and extensible objectmodel (BioCore),
which has been implemented as a C++ framework, a Java class
library, and a relational database. The C++ framework can be used,
amongst other things, to efficiently import, integrate, and analyze
the data, which is stored in a datawarehouse. The Java-based viewer
(BiNA) provides a powerful platform-independent visualization of
the data and offers sophisticated graph layout algorithms. The book
focuses on life scientists working or interested in integrative
systems biology.
Dr. rer. nat.: Studies of computer science at the Center for Bioinformatics Saar, Saarland University with a main focus on bioinformatics and systems biology.
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