一种用于调控代谢网络的可扩展系统分析方法。
A scalable systems analysis approach for regulated metabolic networks.
作者信息
Jensen Paul A, Papin Jason A
机构信息
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908 USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5464-5. doi: 10.1109/IEMBS.2009.5334060.
High-throughput data such as genome sequencing and genome expression profiling have enabled the reconstruction of cellular networks. These networks have been represented in computational frameworks that can be used to make testable predictions concerning phenotypes under a variety of experimental conditions and multiple molecular perturbations. This presentation will detail several recent advances in the analysis of these networks as well as provide an outlook of remaining challenges.
诸如基因组测序和基因组表达谱分析等高通量数据，已使细胞网络的重建成为可能。这些网络已在计算框架中得以呈现，该框架可用于对多种实验条件和多种分子扰动下的表型做出可检验的预测。本报告将详细介绍这些网络分析方面的一些最新进展，并对尚存的挑战进行展望。
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