Schlitt Thomas
Department of Medical and Molecular Genetics, King's College London, London, UK.
Methods Mol Biol. 2013;1021:13-35. doi: 10.1007/978-1-62703-450-0_2.
This chapter is split into two main sections; first, I will present an introduction to gene networks. Second, I will discuss various approaches to gene network modeling which will include some examples for using different data sources. Computational modeling has been used for many different biological systems and many approaches have been developed addressing the different needs posed by the different application fields. The modeling approaches presented here are not limited to gene regulatory networks and occasionally I will present other examples. The material covered here is an update based on several previous publications by Thomas Schlitt and Alvis Brazma (FEBS Lett 579(8),1859-1866, 2005; Philos Trans R Soc Lond B Biol Sci 361(1467), 483-494, 2006; BMC Bioinformatics 8(suppl 6), S9, 2007) that formed the foundation for a lecture on gene regulatory networks at the In Silico Systems Biology workshop series at the European Bioinformatics Institute in Hinxton.
本章分为两个主要部分;首先,我将介绍基因网络。其次,我将讨论基因网络建模的各种方法,其中将包括一些使用不同数据源的示例。计算建模已用于许多不同的生物系统,并且已经开发了许多方法来满足不同应用领域提出的不同需求。这里介绍的建模方法不限于基因调控网络,我偶尔也会给出其他示例。这里涵盖的材料是基于托马斯·施利特(Thomas Schlitt)和阿尔维斯·布拉兹马(Alvis Brazma)之前的几篇出版物(《欧洲生物化学会联合会快报》579(8),1859 - 1866,2005年;《英国皇家学会哲学学报B辑:生物科学》361(1467),483 - 494,2006年;《生物医学中心生物信息学》8(增刊6),S9,2007年)的更新,这些出版物构成了在欣克斯顿欧洲生物信息学研究所的计算机系统生物学研讨会系列上关于基因调控网络讲座的基础。