Data Analysis, Dissemination, and Systems Modeling

系统生物学的定义特征是，它寻求发展一种生物学的系统观， 与组件视图相反。这个项目的目的是在一个反馈周期，指导进一步发展 实验预测计算模型，捕捉分子的整体动力学 链孢菌从菌丝生长到无性孢子发育的网络， 分生孢子初步工作将针对建立监管网络预测模型 以及该网络与现有和新的转录组和基因组数据的相关性。这一模式将 通过纳入项目3产生的新数据进行测试和改进，最重要的是， 通过使用项目1中开发的菌株促进扰动试验，并使用 项目3中使用的工具。此外，我们将开发一个稳态代谢的综合模型 通过将该模型与我们的调控网络模型相结合， 预测不同基因表达状态对应的代谢状态

The defining characteristic of systems biology is that it seeks to develop a systems view of biology as opposed to a components view. This project aims to develop¿in a feedback cycle that guides further experimentation¿predictive computational models that capture the overall dynamics of the molecular network that underlies the shift of Neurospora from mycelia growth to asexual spore development through conidiation. Initial efforts will be directed towards construction of a predictive model for regulatory networks and correlation of this network with existing and new transcriptome and genomic data. This model will be tested and refined through incorporation of new data arising from Project 3 and, most importantly, via perturbation tests facilitated through the use of strains developed in Project 1 and characterized using the tools employed in Project 3. In addition, we will develop a comprehensive model of steady state metabolism in Neurospora and, by combining this model with our regulatory network model, make testable predictions about metabolic state corresponding to different gene expression states