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MASTR-MS:一个用于代谢组学的基于网络的协作式实验室信息管理系统(LIMS)。

MASTR-MS: a web-based collaborative laboratory information management system (LIMS) for metabolomics.

作者信息

Hunter Adam, Dayalan Saravanan, De Souza David, Power Brad, Lorrimar Rodney, Szabo Tamas, Nguyen Thu, O'Callaghan Sean, Hack Jeremy, Pyke James, Nahid Amsha, Barrero Roberto, Roessner Ute, Likic Vladimir, Tull Dedreia, Bacic Antony, McConville Malcolm, Bellgard Matthew

机构信息

Australian Bioinformatics Facility, Centre for Comparative Genomics, Murdoch University, Murdoch, WA 6150 Australia.

Metabolomics Australia, The University of Melbourne, Melbourne, VIC 3010 Australia.

出版信息

Metabolomics. 2017;13(2):14. doi: 10.1007/s11306-016-1142-2. Epub 2016 Dec 27.

Abstract

BACKGROUND

An increasing number of research laboratories and core analytical facilities around the world are developing high throughput metabolomic analytical and data processing pipelines that are capable of handling hundreds to thousands of individual samples per year, often over multiple projects, collaborations and sample types. At present, there are no Laboratory Information Management Systems (LIMS) that are specifically tailored for metabolomics laboratories that are capable of tracking samples and associated metadata from the beginning to the end of an experiment, including data processing and archiving, and which are also suitable for use in large institutional core facilities or multi-laboratory consortia as well as single laboratory environments.

RESULTS

Here we present MASTR-MS, a downloadable and installable LIMS solution that can be deployed either within a single laboratory or used to link workflows across a multisite network. It comprises a Node Management System that can be used to link and manage projects across one or multiple collaborating laboratories; a User Management System which defines different user groups and privileges of users; a Quote Management System where client quotes are managed; a Project Management System in which metadata is stored and all aspects of project management, including experimental setup, sample tracking and instrument analysis, are defined, and a Data Management System that allows the automatic capture and storage of raw and processed data from the analytical instruments to the LIMS.

CONCLUSION

MASTR-MS is a comprehensive LIMS solution specifically designed for metabolomics. It captures the entire lifecycle of a sample starting from project and experiment design to sample analysis, data capture and storage. It acts as an electronic notebook, facilitating project management within a single laboratory or a multi-node collaborative environment. This software is being developed in close consultation with members of the metabolomics research community. It is freely available under the GNU GPL v3 licence and can be accessed from, https://muccg.github.io/mastr-ms/.

摘要

背景

全球越来越多的研究实验室和核心分析设施正在开发高通量代谢组学分析和数据处理流程,这些流程每年能够处理数百至数千个独立样本,通常涉及多个项目、合作和样本类型。目前,尚无专门为代谢组学实验室量身定制的实验室信息管理系统(LIMS),该系统能够跟踪样本及相关元数据从实验开始到结束的全过程,包括数据处理和存档,并且适用于大型机构核心设施或多实验室联盟以及单个实验室环境。

结果

在此,我们展示了MASTR-MS,这是一种可下载和安装的LIMS解决方案,既可以在单个实验室中部署,也可用于跨多站点网络链接工作流程。它包括一个节点管理系统,可用于链接和管理一个或多个合作实验室的项目;一个用户管理系统,用于定义不同的用户组和用户权限;一个报价管理系统,用于管理客户报价;一个项目管理系统,用于存储元数据并定义项目管理的各个方面,包括实验设置、样本跟踪和仪器分析;以及一个数据管理系统,允许将来自分析仪器的原始数据和处理后的数据自动捕获并存储到LIMS中。

结论

MASTR-MS是专门为代谢组学设计的综合LIMS解决方案。它涵盖了样本从项目和实验设计到样本分析、数据捕获和存储的整个生命周期。它充当电子笔记本,便于在单个实验室或多节点协作环境中进行项目管理。该软件是在与代谢组学研究社区成员密切协商的基础上开发的。它根据GNU GPL v3许可免费提供,可从https://muccg.github.io/mastr-ms/访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00a2/5192047/01f10bd2cc95/11306_2016_1142_Fig1_HTML.jpg

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