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AutoAnalyze in Systems Biology

By Christian Saad, Bernhard Bauer, Ulrich R Mansmann and Jian Li

Abstract

AutoAnalyze is a highly customizable framework for the visualization and analysis of large-scale model graphs. Originally developed for use in the automotive domain, it also supports efficient computation within molecular networks represented by reaction equations. A static analysis approach is used for efficient treatment-condition-specific simulation. The chosen method relies on the computation of a global network data-flow resulting from the evaluation of individual genetic data. The approach facilitates complex analyses of biological components from a molecular network under specific therapeutic perturbations, as demonstrated in a case study. In addition to simulating the complex networks in a stable and reproducible way, kinetic constants can also be fine-tuned using a genetic algorithm and built-in statistical tools

Topics: Biology (General), QH301-705.5
Publisher: SAGE Publishing
Year: 2019
DOI identifier: 10.1177/1177932218818458
OAI identifier: oai:doaj.org/article:44c107939eec4423aa51342f2ae10a0b
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