阿里斯特 - 脂质稳定性评估和研究应用程序
Samuel Rischke1, Robert Gurke2, Alexandre Bennett3
1Goethe University Frankfurt, Institute of Clinical Pharmacology, Faculty of Medicine, Theodor Stern-Kai 7, 60590 Frankfurt am Main, Germany.
概括
在脂管学和代谢学研究中的分析前陷可以通过ALISTER减轻,这是一个新的网络应用程序. 该工具有助于做出数据驱动的决定,以确定血液样本的稳定性,以便进行可靠的奥米克研究和临床测试.
科学领域:
- 生物化学 生物化学
- 临床化学 临床化学
- 生物分析学 生物分析学
背景情况:
- 在脂管学和代谢学中,分析前样本处理至关重要.
- 不良的样本处理导致数据不可靠,浪费时间和资源.
- 为了将omics技术转化为临床实践,需要标准化指导.
研究的目的:
- 为了使在脂管学和代谢学研究中关于样本稳定性的知情决策.
- 为评估整个研究过程中的样本质量提供一个工具.
- 支持在临床环境中可靠应用omics技术.
主要方法:
- 从多个预分析研究中的数据汇总到一个集中数据库中.
- 开发灵活的数据评估方法.
- 基于RShiny的Web应用程序 (ALISTER) 的实施,以实现广泛的应用.
主要成果:
- 阿里斯特促进了血液样本稳定性的决策,用于脂质和代谢学研究.
- 该应用程序提供了用于规划和追溯质量评估的采样建议.
- 它支持生物标志物研究,生物库样本分析和临床测试.
结论:
- 阿利斯特是公开提供在https://itmp.shinyapps.io/alister/.
- 该工具简化了分析前血液样本处理的数据驱动决策.
- 阿利斯特可以满足不同临床研究视角的不同需求.
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