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表达图谱数据库:多研究和多生物的基因和蛋白表达。

Expression Atlas: gene and protein expression across multiple studies and organisms.

机构信息

European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, UK.

Oregon State University, Corvallis, USA.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D246-D251. doi: 10.1093/nar/gkx1158.


DOI:10.1093/nar/gkx1158
PMID:29165655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5753389/
Abstract

Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions.

摘要

表达图谱数据库(http://www.ebi.ac.uk/gxa)是一个增值数据库,提供了不同物种和不同环境(如组织、发育阶段、疾病或细胞类型)中基因和蛋白质表达的信息。该数据库对来自不同来源的公共和受控访问数据集进行了编目和重新分析,使用标准化的开源流程,并提供查询、下载和可视化功能。截至 2017 年 8 月,表达图谱数据库包含来自 33 个不同物种的 3126 项研究的数据,其中包括 731 项来自植物的研究。来自大规模 RNA 测序研究的数据,包括 Blueprint、PCAWG、ENCODE、GTEx 和 HipSci,可以并排可视化。在表达图谱数据库中,用户可以查询感兴趣的基因或基因集,并在不同物种、组织、发育阶段中以组成型或差异型的方式探索它们的表达情况,以反映疾病、状况或实验干预的影响。所有处理后的数据矩阵都以制表符分隔格式或 R 数据的形式直接下载。除了网络界面,现在还可以通过 Expression Atlas R 包搜索和下载数据集。新的功能和可视化包括基因集重叠的即时分析,以及查看在调查组织或其他条件下组成型基因表达的实验中基因共表达的选项。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94b6/5753389/95cadbd1ab16/gkx1158fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94b6/5753389/dde72462c79b/gkx1158fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94b6/5753389/95cadbd1ab16/gkx1158fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94b6/5753389/dde72462c79b/gkx1158fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94b6/5753389/95cadbd1ab16/gkx1158fig2.jpg

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本文引用的文献

[1]
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[2]
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Nucleic Acids Res. 2017-1-4

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