ABSTRACT

This is exemplified very well by the recent hype around and boom in ‘Systems Biology’ (see Sub-chapter 13.1).

The aforementioned convenience and justification for earlier employing linearizing strategies such as Hanes’ plot, LineweaverBurk’s plot, EadieScatchard’s plot, or null-methods such as Schild’s plot, when analyzing equilibrium data, have evidently evaporated with the emergence of chip-based computers and their software (Marangoni 2003). In addition, this development has parallels in biology, ecology, economy, evolutionism, embryology, sociology, and several other sciences (May 1976; Keller 2002, especially Part 3; Cramer 2003; May 2004). In all these areas, analysis of data is completely integrated with chip-based interactive software and is unthinkable without stepping on the chips as a prerequisite for future advancement of data analysis. For a more elaborate example, look for instance into efforts on interoperability of software for simulation of biochemical networks (Hucka et al. 2001). The field of bioinformatics likewise has exploded in the last ten years (see Chapter 13 and Table 13.3) due to computational capabilities. For example, browse at random in new journals as BMC Systems Biology, Systems and Synthetic Biology, Biosystems, the Intl Journal of Bioinformatics, and Bioinformatics (available at https://bioinformatics. oxfordjournals.org).