Resources, standards and tools for systems biology.
Modelling and simulation techniques are valuable tools for the understanding of complex biological systems. The design of a computer model necessarily has many diverse inputs, such as information on the model topology, reaction kinetics and experimental data, derived either from the literature, databases or direct experimental investigation. In this review, we describe different data resources, standards and modelling and simulation tools that are relevant to integrative systems biology.
Wierling
Christoph
C
Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany. wierling@molgen.mpg.de
Herwig
Ralf
R
Lehrach
Hans
H
D002468:Cell Physiological Phenomena; D019295:Computational Biology; D003196:Computer Graphics; D003198:Computer Simulation; D003628:Database Management Systems; D008954:Models, Biological; D011381:Programming Languages; D012984:Software; D049490:Systems Biology / Q000379:methods*