title: Representing bioinformatics causality.
abstract: This paper reviews a variety of different graphical notations currently in active use for modelling dynamic processes in bioinformatics and biotechnology, and crystallises from these notations a set of properties essential to any proposal for a modelling language seeking to provide an adequate systemic description of biological processes.
authors.affiliation: Dept. of Biotechnology & Bioinformatics, Weihenstephan University of Applied Sciences, Freising, Germany. johannes.mandel@fh-weihenstephan.de
authors.forename: Johannes
authors.initials: J
authors.lastname: Mandel
authors.forename: Niall M
authors.initials: NM
authors.lastname: Palfreyman
authors.forename: Jesus A
authors.initials: JA
authors.lastname: Lopez
authors.forename: Werner
authors.initials: W
authors.lastname: Dubitzky
mesh_terms: D000465:Algorithms; D000818:Animals; D015984:Causality; D002468:Cell Physiological Phenomena; D019295:Computational Biology / Q000379:methods / Q000639:trends; D003196:Computer Graphics; D004926:Escherichia coli / Q000201:enzymology / Q000235:genetics; D005786:Gene Expression Regulation / Q000502:physiology*; D006801:Humans; D007763:Lac Operon / Q000235:genetics; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D049490:Systems Biology / Q000379:methods / Q000639:trends; D013598:Systems Theory; D014584:User-Computer Interface; D001616:beta-Galactosidase / Q000235:genetics / Q000378:metabolism
chemical_list: D001616:beta-Galactosidase