系统毒理学毒理学信息学

L. Burgoon
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引用次数: 0

摘要

系统生物学和系统毒理学对不同的人来说意味着不同的东西。对一些人来说,这两个学科都关注于生物网络的创建,并且可以被称为网络生物学。对另一些人来说,这些学科用数学模型来解释生物现象。另一些人则认为这实际上是这些哲学的结合,而另一些人则认为这只不过是组学技术与其他生物学学科的结合。无论你属于这一范畴的哪一方,都有一个普遍的真理:研究人员需要大量的数据来进行系统生物学和系统毒理学研究。本章讨论了一些关于数据管理的概念,包括数据安全、数据库和数据仓库。本章以建模和基因调控元件鉴定的一些讨论结束。在阅读本章之后,读者应该对系统生物学和系统毒理学中有关数据管理和分析的一些问题有更好的了解。关键词:生物信息学;数据库;数据管理;机器学习;toxicoinformatics
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toxicoinformatics for Systems Toxicology
Systems biology and systems toxicology mean different things to different people. To some, both disciplines focus on the creation of biological networks, and may be called network biology. To others, these disciplines conjure images of mathematical models to explain biological phenomena. Others will take a stance that it is really the combination of these philosophies, while there are others who believe that they are no more than the integration of omics technologies with other biological disciplines. Regardless of where you fall in this spectrum there is one universal truth: investigators require a significant amount of data to perform systems biology and systems toxicology. This chapter discusses some ideas with respect to data management, including data security, as well as databases and data warehouses. The chapter closes with some discussion of modeling and gene regulatory element identification. After reading this chapter the reader should have a better idea of some of the issues with respect to data management and analysis in systems biology and systems toxicology. Keywords: bioinformatics; database; data management; machine learning; toxicoinformatics
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