利用系统生物学增进对基因表达调控的理解。
Improved understanding of gene expression regulation using systems biology.
作者信息
Kuczenski Robert S, Aggarwal Kunal, Lee Kelvin H
机构信息
Cornell University, School of Chemical & Biomolecular Engineering, 120 Olin Hall, Ithaca, NY 14853, USA.
出版信息
Expert Rev Proteomics. 2005 Dec;2(6):915-24. doi: 10.1586/14789450.2.6.915.
This article reviews the current state of systems biology approaches, including the experimental tools used to generate 'omic' data and computational frameworks to interpret this data. Through illustrative examples, systems biology approaches to understand gene expression and gene expression regulation are discussed. Some of the challenges facing this field and the future opportunities in the systems biology era are highlighted.
本文综述了系统生物学方法的当前状态，包括用于生成“组学”数据的实验工具以及用于解释这些数据的计算框架。通过实例，讨论了系统生物学用于理解基因表达和基因表达调控的方法。文中强调了该领域面临的一些挑战以及系统生物学时代的未来机遇。
Zotero 插件