GeneNetwork: A Toolbox for Systems Genetics.
GeneNetwork: A Toolbox for Systems Genetics.
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DOI：
10.1007/978-1-4939-6427-7_4
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Williams RW
中科院分区：
文献类型：
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作者：
Mulligan MK;Mozhui K;Prins P;Williams RW
系统遗传学的目标是了解遗传变异对生物组织各个层次的影响，从mRNA，蛋白质和代谢物到更高级的生理和行为特征。这种方法需要积累和整合多种类型的数据，还需要使用多种类型的统计工具来提取相关的协变模式和因果关系，作为遗传学，环境，阶段和治疗的函数。在本协议中，我们解释了如何使用GeneNetwork网络服务，一个强大的和免费的在线资源系统遗传学。我们提供了工作流程和方法来浏览大量的多标量数据集，我们解释了如何使用一个广泛的系统遗传学工具包进行分析和合成。最后，我们提供了两个详细的案例研究，利用人类和小鼠队列来评估基因变异、成瘾和衰老之间的联系。
The goal of systems genetics is to understand the impact of genetic variation across all levels of biological organization, from mRNAs, proteins, and metabolites, to higher-order physiological and behavioral traits. This approach requires the accumulation and integration of many types of data, and also requires the use of many types of statistical tools to extract relevant patterns of covariation and causal relations as a function of genetics, environment, stage, and treatment. In this protocol we explain how to use the GeneNetwork web service, a powerful and free online resource for systems genetics. We provide workflows and methods to navigate massive multiscalar data sets and we explain how to use an extensive systems genetics toolkit for analysis and synthesis. Finally, we provide two detailed case studies that take advantage of human and mouse cohorts to evaluate linkage between gene variants, addiction, and aging.