Kale Namrata S, Haug Kenneth, Conesa Pablo, Jayseelan Kalaivani, Moreno Pablo, Rocca-Serra Philippe, Nainala Venkata Chandrasekhar, Spicer Rachel A, Williams Mark, Li Xuefei, Salek Reza M, Griffin Julian L, Steinbeck Christoph
European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, United Kingdom.
Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom.
Curr Protoc Bioinformatics. 2016 Mar 24;53:14.13.1-14.13.18. doi: 10.1002/0471250953.bi1413s53.
MetaboLights is the first general purpose, open-access database repository for cross-platform and cross-species metabolomics research at the European Bioinformatics Institute (EMBL-EBI). Based upon the open-source ISA framework, MetaboLights provides Metabolomics Standard Initiative (MSI) compliant metadata and raw experimental data associated with metabolomics experiments. Users can upload their study datasets into the MetaboLights Repository. These studies are then automatically assigned a stable and unique identifier (e.g., MTBLS1) that can be used for publication reference. The MetaboLights Reference Layer associates metabolites with metabolomics studies in the archive and is extensively annotated with data fields such as structural and chemical information, NMR and MS spectra, target species, metabolic pathways, and reactions. The database is manually curated with no specific release schedules. MetaboLights is also recommended by journals for metabolomics data deposition. This unit provides a guide to using MetaboLights, downloading experimental data, and depositing metabolomics datasets using user-friendly submission tools.
MetaboLights是欧洲生物信息学研究所（EMBL-EBI）首个用于跨平台和跨物种代谢组学研究的通用、开放获取数据库库。基于开源的ISA框架，MetaboLights提供符合代谢组学标准倡议（MSI）的元数据以及与代谢组学实验相关的原始实验数据。用户可以将他们的研究数据集上传到MetaboLights库中。这些研究随后会自动被分配一个稳定且唯一的标识符（例如MTBLS1），可用于发表引用。MetaboLights参考层将代谢物与存档中的代谢组学研究相关联，并使用诸如结构和化学信息、NMR和MS光谱、目标物种、代谢途径和反应等数据字段进行了广泛注释。该数据库是人工整理的，没有特定的发布时间表。MetaboLights也被期刊推荐用于代谢组学数据存档。本单元提供了使用MetaboLights、下载实验数据以及使用用户友好的提交工具存档代谢组学数据集的指南。
