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多态:一个酶反应推断的多态网络可视化网络服务器Web服务器

Yuying Shi^1,2,3, Botao Xu⁴, Zhe Wang⁵

¹Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

Bioinformatics (Oxford, England)

|October 17, 2024

概括

PhenoMultiOmics可视化了癌症中的酶反应网络,整合了多omics数据以揭示基因,蛋白质和代谢物相互作用. 该工具有助于了解疾病机制和发现生物标志物.

科学领域:

生物化学生物化学
系统生物学系统生物学
生物信息学是一种生物信息学.

背景情况:

酶反应对细胞过程至关重要,它们在疾病中的干扰需要对多组网进行可视化.
了解这些被扰乱的网络有助于理解生物系统的功能和调节.

研究的目的:

设计PhenoMultiOmics,一个用于探索各种癌症类型的基于酶反应的多omics网络的Web服务器.
为了使基因,蛋白质和代谢物相互作用受癌症相关酶反应影响的可视化.

主要方法:

策划了癌症基因-蛋白质-代谢物关系的数据库,通过酶反应联系在一起.
开发了一个多omics网络可视化模块和一个生物标志物发现模块.
应用服务器来分析胃癌的转录组学数据和肺癌的代谢组学数据.

主要成果:

PhenoMultiOmics提供了一个平台,用于探索基于酶反应的癌症多omics网络.
该工具通过差异性欧米特征表达和路径丰富来促进功能分析.
关于胃癌和肺癌的案例研究为中断的酶反应提供了机理性的见解.

结论:

对于研究癌症中的酶反应的研究人员来说,PhenoMultiOmics提供了一个宝贵的资源.
网络服务器有助于了解疾病机制,并通过多omics数据集成识别潜在的生物标志物.

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