Abstract
Petri net methodology has been widely used for modeling and simulation of biological systems due to its intuitive graphical representation and mathematical power for concurrent systems. In this article, some of the major problems arising in this field are addressed, ongoing progresses are discussed, and possible solutions are suggested.
About the authors
Ming Chen received his PhD in Bioinformatics from Bielefeld University, Germany, in 2004. Currently he is working as a full Professor in Bioinformatics at College of Life Sciences, Zhejiang University. His group research work mainly focuses on the systems biology, computational and functional analysis of transcriptomics, and bioinformatics research and application for plant sciences. Prof. Chen is serving as an academic leader in Bioinformatics at Zhejiang University. He chairs the Bioinformatics society of Zhejiang Province, and serves as a committee member of Chinese societies for “Modeling and Simulation of Biological Systems”, “Computational Systems Biology” and “Functional Genomics & Systems Biology”.
Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
Ralf Hofestädt studied Computer Science and Biology at the University Bonn. He finished his PhD 1990 at the University Bonn and his Habilitation (Applied Computer Science and Bioinformatics) 1995 at the University Koblenz. From 1995 to 1996 he was associate Professor for Medical Informatics at the University Leipzig. From 1996 to 2001 he was Professor for Applied Computer Science at the University Magdeburg. Since 2001 he is Professor for Bioinformatics and Medical Informatics at the Bielefeld University.
AG Bioinformatics and Medical Informatics, Faculty of Technology, Bielefeld University, D-33501 Bielefeld, Germany
©2014 Walter de Gruyter Berlin/Boston
