1 Bioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute , Seattle, Washington.
OMICS. 2014 Jun;18(6):335-43. doi: 10.1089/omi.2014.0061.
Multi-omics data-driven scientific discovery crucially rests on high-throughput technologies and data sharing. Currently, data are scattered across single omics repositories, stored in varying raw and processed formats, and are often accompanied by limited or no metadata. The Multi-Omics Profiling Expression Database (MOPED, http://moped.proteinspire.org ) version 2.5 is a freely accessible multi-omics expression database. Continual improvement and expansion of MOPED is driven by feedback from the Life Sciences Community. In order to meet the emergent need for an integrated multi-omics data resource, MOPED 2.5 now includes gene relative expression data in addition to protein absolute and relative expression data from over 250 large-scale experiments. To facilitate accurate integration of experiments and increase reproducibility, MOPED provides extensive metadata through the Data-Enabled Life Sciences Alliance (DELSA Global, http://delsaglobal.org ) metadata checklist. MOPED 2.5 has greatly increased the number of proteomics absolute and relative expression records to over 500,000, in addition to adding more than four million transcriptomics relative expression records. MOPED has an intuitive user interface with tabs for querying different types of omics expression data and new tools for data visualization. Summary information including expression data, pathway mappings, and direct connection between proteins and genes can be viewed on Protein and Gene Details pages. These connections in MOPED provide a context for multi-omics expression data exploration. Researchers are encouraged to submit omics data which will be consistently processed into expression summaries. MOPED as a multi-omics data resource is a pivotal public database, interdisciplinary knowledge resource, and platform for multi-omics understanding.
多组学数据驱动的科学发现关键依赖于高通量技术和数据共享。目前,数据分散在单个组学存储库中,以不同的原始和处理格式存储,并且通常伴随着有限的或没有元数据。Multi-Omics Profiling Expression Database (MOPED,http://moped.proteinspire.org) 版本 2.5 是一个免费访问的多组学表达数据库。MOPED 的持续改进和扩展是由生命科学社区的反馈驱动的。为了满足对集成多组学数据资源的紧急需求,MOPED 2.5 现在除了包含来自 250 多个大规模实验的蛋白质绝对和相对表达数据外,还包含基因相对表达数据。为了促进实验的准确整合并提高可重复性,MOPED 通过 Data-Enabled Life Sciences Alliance (DELSA Global,http://delsaglobal.org) 元数据清单提供了广泛的元数据。MOPED 2.5 极大地增加了蛋白质组学绝对和相对表达记录的数量,超过 50 万条,此外还增加了超过 400 万条转录组学相对表达记录。MOPED 具有直观的用户界面,用于查询不同类型的组学表达数据的选项卡,以及用于数据可视化的新工具。在“Protein and Gene Details”页面上可以查看包括表达数据、途径映射以及蛋白质和基因之间直接连接的摘要信息。MOPED 中的这些连接为多组学表达数据探索提供了背景。鼓励研究人员提交组学数据,这些数据将被一致地处理为表达摘要。作为一个多组学数据资源,MOPED 是一个关键的公共数据库、跨学科知识库和多组学理解平台。