MASTR-MS: a web-based collaborative laboratory information management system (LIMS) for metabolomics
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- 作者：Adam Hunter ; Saravanan Dayalan ; David De Souza ; Brad Power ; Rodney Lorrimar…
- 关键词：MASTR ; MS ; Metabolomics ; LIMS ; Omics
- 刊名：Metabolomics
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：13
- 期：2
- 全文大小：827KB
- 刊物主题：Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine, general;
- 出版者：Springer US
- ISSN：1573-3890
- 卷排序：13
文摘
BackgroundAn 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.