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注射设计:面板设计的网络服务,优化了基于GC/LC-MS的样本准备,用于现代GC/LC-MS的样本准备

Miaoshan Lu^1,2,3,4, Hengxuan Jiang⁴, Ruimin Wang^2,3,5,4

¹Zhejiang University, Hangzhou, Zhejiang, China.

BMC bioinformatics

|December 20, 2023

概括

InjectionDesign是一个新的在线服务,简化了GC/LC-MS多omics实验的板设计. 这个免费的工具为没有编程专业知识的研究人员提供了高效的随机化和广泛的兼容性.

科学领域:

生物技术是生物技术.
分析化学分析化学
生物信息学是一种生物信息学.

背景情况:

板设计对于GC/LC-MS样品准备至关重要,但耗时.
批次间平衡和批次内随机化算法显著影响实验结果.
对于缺乏编程技能的研究人员,需要一个用户友好的在线服务.

研究的目的:

介绍InjectionDesign,这是一个免费的在线服务,用于设计基于GC/LC-MS的多omics实验.
提供一个简化板设计的工具,增强与现代质谱工作流程的兼容性.
为改善样本分层提供一个优化的块随机化算法.

主要方法:

开发了InjectionDesign作为一个免费的,基于Web的服务.
实施了针对不平衡样本分布的优化块随机化算法.
确保与共同仪器模型的兼容性,并促进快速数据出口.

主要成果:

注射设计将位置和序列设计分开,以提高输出兼容性.
该服务具有优化的块随机化算法,适合分层采样.
它提供了一个用户友好的界面,内置仪表支持和工作表导出.

结论:

InjectionDesign是一个开源的Java项目,可在GitHub上使用.
在http://www.injection.design.design上可以访问一个免费的网络服务.
该工具旨在为研究人员简化多学科实验设计.

关键词:

区块随机化区块随机化注射设计的设计.质谱测量质量谱测量代谢学代谢学代谢学板块设计板块设计分层平衡是分层的平衡方式.网络服务网络服务网络服务

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