Hernández Sánchez Luis Francisco, Aasebø Elise, Selheim Frode, Berven Frode S, Ræder Helge, Barsnes Harald, Vaudel Marc
Graduate Program in Optimization, Universidad Autónoma Metropolitana Azcapotzalco, Mexico City, Mexico.
Proteomics Unit, Department of Biomedicine, University of Bergen, Bergen, Norway.
Methods Mol Biol. 2016;1394:287-310. doi: 10.1007/978-1-4939-3341-9_21.
In biological and medical sciences, high throughput analytical methods are now commonly used to investigate samples of different conditions, e.g., patients versus controls. Systemic functional analyses emerged as a reference method to go beyond a list of regulated compounds, and identify activated or inactivated biological functions. This approach holds the promise for a better understanding of biological systems, of the mechanisms involved in disease progression, and thus improved diagnosis, prognosis, and treatment. In this chapter, we present a simple workflow to conduct pathway analyses on biological data using the freely available Reactome platform (http://www.reactome.org).
在生物和医学科学领域,高通量分析方法如今常用于研究不同条件下的样本,例如患者与对照。系统功能分析作为一种参考方法应运而生,旨在超越一份受调控化合物清单,识别激活或失活的生物学功能。这种方法有望更好地理解生物系统、疾病进展所涉及的机制,从而改善诊断、预后和治疗。在本章中,我们介绍一种使用免费的Reactome平台(http://www.reactome.org)对生物数据进行通路分析的简单工作流程。