Brazhnik Paul, de la Fuente Alberto, Mendes Pedro
Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
Trends Biotechnol. 2002 Nov;20(11):467-72. doi: 10.1016/s0167-7799(02)02053-x.
An increasingly popular model of regulation is to represent networks of genes as if they directly affect each other. Although such gene networks are phenomenological because they do not explicitly represent the proteins and metabolites that mediate cell interactions, they are a logical way of describing phenomena observed with transcription profiling, such as those that occur with popular microarray technology. The ability to create gene networks from experimental data and use them to reason about their dynamics and design principles will increase our understanding of cellular function. We propose that gene networks are also a good way to describe function unequivocally, and that they could be used for genome functional annotation. Here, we review some of the concepts and methods associated with gene networks, with emphasis on their construction based on experimental data.
一种日益流行的调控模型是将基因网络表示为好像它们直接相互影响一样。尽管这样的基因网络是现象学的，因为它们没有明确表示介导细胞相互作用的蛋白质和代谢物，但它们是描述转录谱分析中观察到的现象的一种合乎逻辑的方式，例如那些使用流行的微阵列技术时发生的现象。从实验数据创建基因网络并利用它们推断其动态和设计原则的能力将增进我们对细胞功能的理解。我们提出基因网络也是明确描述功能的好方法，并且它们可用于基因组功能注释。在这里，我们回顾一些与基因网络相关的概念和方法，重点是基于实验数据构建基因网络。
