In this paper, we compile the network of software packages with regulatory interactions (dependences and conflicts) from Debian GNU/Linux operating system and use it as an analogy for a gene regulatory network. Using a trace-back algorithm we assemble networks from the pool of packages with both scale-free (real data) and exponential (null model) topologies. We record the maximum number of packages that can be functionally installed in the system (i.e., the active network size). We show that scale-free regulatory networks allow a larger active network size than random ones. This result might have implications for the number of expressed genes at steady state. Small genomes with scale-free regulatory topologies could allow much more expression than large genomes with exponential topologies. This may have implications for the dynamics, robustness and evolution of genomes.
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机译：在本文中，我们使用来自Debian GNU / Linux操作系统的具有监管交互作用（依赖性和冲突）的软件包网络进行编译，并将其用作基因监管网络的类比。使用追溯算法，我们从具有无标度（实际数据）和指数（空模型）拓扑的程序包池中组装网络。我们记录可以在系统中正常安装的软件包的最大数量（即活动的网络大小）。我们表明，无标度的监管网络允许的活动网络规模大于随机网络。这个结果可能对稳态表达基因的数量有影响。具有无标度调节拓扑的小型基因组比具有指数拓扑的大型基因组可以允许更多的表达。这可能对基因组的动力学，健壮性和进化有影响。
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