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Metascape 为系统水平数据集的分析提供了面向生物学家的资源。

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.

机构信息

Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA, 92121, USA.

Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA.

出版信息

Nat Commun. 2019 Apr 3;10(1):1523. doi: 10.1038/s41467-019-09234-6.

Abstract

A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.

摘要

在系统水平研究的解释中,一个关键的组成部分是推断 OMICs 数据集中包含的丰富生物途径和蛋白质复合物。成功的分析需要整合广泛的当前生物学数据库,并应用稳健的分析管道来产生易于解释的结果。Metascape 是一个基于网络的门户,旨在为实验生物学家提供全面的基因列表注释和分析资源。在设计特点方面,Metascape 将功能富集、互作分析、基因注释和成员搜索结合在一起,在一个集成的门户中利用了 40 多个独立的知识库。此外,它还便于在多个独立和正交实验的数据集之间进行比较分析。Metascape 通过一键式 Express Analysis 界面提供了显著简化的用户体验,可生成可解释的输出。总之,Metascape 是实验生物学家在大数据时代全面分析和解释基于 OMICs 的研究的有效且高效的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6a8/6447622/f09fa5fb612a/41467_2019_9234_Fig1_HTML.jpg

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