cover of episode InjectionDesign: Plate Design with Optimized Stratified Block Randomization for Modern LC/GC-MS-Based Sample Preparation

InjectionDesign: Plate Design with Optimized Stratified Block Randomization for Modern LC/GC-MS-Based Sample Preparation

2023/2/27
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PaperPlayer biorxiv bioinformatics

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.26.530140v1?rss=1

Authors: Lu, M., Jiang, H., Wang, R., An, S., Wang, J., Yu, C.

Abstract: Plate Design is a necessary and time-consuming operation for GC/LC-MS based sample preparation. The implementation of the inter-batch balancing algorithm and the intra-batch randomization algorithm can have a significant impact on the final analysis results. For researchers without programming skills, a stable and efficient online service for plate design is necessary. However, most exist products do not currently have online services, and are not optimized for GC/LC-MS instruments with custom injection capabilities. Here we describe InjectionDesign, a free online plate design service focus on GC/LC-MS-based multi-omics experiment design. It offers the ability to separate the position design from the sequence design, making the output more compatible with the requirements of a modern mass spectrometer-based laboratory. In addition, it has implemented an optimized block randomization algorithm, which can be better applied to sample stratification with block randomization for unbalanced distribution. It is easy to use, with built-in support for common instrument models and quick export to worksheet. InjectionDesign is an open-source project based on Java. Researchers can get the source code of the project from Github: https://github.com/CSi-Studio/InjectionDesign. A free web service is also provided: http://www.injection.design. | Demo Project: http://www.injection.design/#/project/detail?projectId=Test Keywords: InjectionDesign; Plate Design; Mass Spectrometry; Block Randomization; Stratified Balancing; Metabolomics; Proteomics; Web Service;

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