Each scientist needs to be aware of the complexity of cellular life and the modeling possibilities to be able to reconstruct, analyze, and simulate biological systems. Bioinformatics modeling, analysis, and simulation are highly interdisciplinary disciplines using techniques and concepts from computer science, statistics, mathematics, chemistry, biology, biochemistry, genetics, and physics, among others. Without knowledge about these research topics, it is almost impossible to produce good theoretical models, which can be used for hypothesis testing. Therefore, this chapter gives an impression of what can be modeled from the bioinformatics and biological point of view and introduces into biological networks, common analysis techniques from graph theory, and possibilities to reconstruct, simulate, and share biological networks based on database content.
Biological Network Modeling and Analysis
Sebastian Jan Janowski, Barbara Kaltschmidt, Christian Kaltschmidt
Approaches in Integrative Bioinformatics
2014, pp 203-244
Via Complexity Digest, Asela Wijeratne