Kowald Axel, Wierling Christoph
Humboldt University Berlin, Institute for Biology, Theoretical Biophysics, Invalidenstr. 42, 10115, Berlin, Germany.
Methods Mol Biol. 2011;759:345-65. doi: 10.1007/978-1-61779-173-4_20.
One of the major objectives of systems biology is the development of mathematical models for the quantitative description of complex biological systems, such as living cells. Biological data and software tools for the design, analysis, and simulation of models are two basic ingredients for the new field of systems biology. In this chapter we give an overview of databases and repositories that provide valuable information for the integrative analysis and modeling of data generated by the different omics techniques. We also provide a review of the most popular software tools currently used in computational systems biology studies. Standards for the annotation of biological data and for the analysis and exchange of models are fundamental for the success of systems biology and provide the glue that connects experimental data with mathematical models. We also discuss some broad trends regarding where systems biology is heading to.
系统生物学的主要目标之一是开发数学模型，用于定量描述复杂的生物系统，如活细胞。用于模型设计、分析和模拟的生物数据及软件工具是系统生物学这一新领域的两个基本要素。在本章中，我们将概述数据库和资源库，它们为整合分析以及不同组学技术产生的数据建模提供了有价值的信息。我们还将回顾计算系统生物学研究中目前最常用的软件工具。生物数据注释以及模型分析和交换的标准是系统生物学取得成功的基础，也是将实验数据与数学模型联系起来的纽带。我们还将讨论系统生物学未来发展的一些大趋势。
