Data Analysis, Dissemination, and Systems Modeling

系统生物学的定义特征是它寻求发展一种系统的生物学观点，如 而不是组件视图。该项目旨在制定一个反馈周期，以进一步指导 实验？捕捉分子整体动力学的预测计算模型 脉孢子菌从菌丝体生长到无性孢子发育的基础网络 分生孢子。初步工作将针对建立一个监管网络的预测模型 以及这个网络与现有的和新的转录组和基因组数据的相关性。这款车型将是 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 通过使用在项目1中开发的菌株进行扰动测试，并使用 项目3中使用的工具。此外，我们还将开发一个全面的稳态新陈代谢模型 通过将这一模型与我们的调控网络模型相结合，使其可测试 不同基因表达状态对应的代谢状态预测

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