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miEAA 2.0:整合多物种 microRNA 富集分析和工作流管理系统。

miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems.

机构信息

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA.

出版信息

Nucleic Acids Res. 2020 Jul 2;48(W1):W521-W528. doi: 10.1093/nar/gkaa309.

DOI:10.1093/nar/gkaa309
PMID:32374865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7319446/
Abstract

Gene set enrichment analysis has become one of the most frequently used applications in molecular biology research. Originally developed for gene sets, the same statistical principles are now available for all omics types. In 2016, we published the miRNA enrichment analysis and annotation tool (miEAA) for human precursor and mature miRNAs. Here, we present miEAA 2.0, supporting miRNA input from ten frequently investigated organisms. To facilitate inclusion of miEAA in workflow systems, we implemented an Application Programming Interface (API). Users can perform miRNA set enrichment analysis using either the web-interface, a dedicated Python package, or custom remote clients. Moreover, the number of category sets was raised by an order of magnitude. We implemented novel categories like annotation confidence level or localisation in biological compartments. In combination with the miRBase miRNA-version and miRNA-to-precursor converters, miEAA supports research settings where older releases of miRBase are in use. The web server also offers novel comprehensive visualizations such as heatmaps and running sum curves with background distributions. We demonstrate the new features with case studies for human kidney cancer, a biomarker study on Parkinson's disease from the PPMI cohort, and a mouse model for breast cancer. The tool is freely accessible at: https://www.ccb.uni-saarland.de/mieaa2.

摘要

基因集富集分析已成为分子生物学研究中最常用的应用之一。最初为基因集开发的相同统计原理现在可用于所有组学类型。2016 年,我们发布了人类前体和成熟 miRNA 的 miRNA 富集分析和注释工具(miEAA)。在这里,我们介绍了支持十种常见研究生物的 miRNA 输入的 miEAA 2.0。为了便于在工作流程系统中包含 miEAA,我们实现了应用程序编程接口(API)。用户可以使用网络界面、专用的 Python 包或自定义远程客户端执行 miRNA 集富集分析。此外,类别集的数量增加了一个数量级。我们实现了新的类别,如注释置信度水平或在生物隔室中的定位。结合 miRBase miRNA 版本和 miRNA 到前体的转换器,miEAA 支持使用较旧的 miRBase 版本的研究设置。该网络服务器还提供了新颖的综合可视化效果,如热图和具有背景分布的运行总和曲线。我们通过人类肾癌、PPMI 队列中帕金森病的生物标志物研究以及乳腺癌的小鼠模型的案例研究来展示新功能。该工具可在以下网址免费访问:https://www.ccb.uni-saarland.de/mieaa2.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4b/7319446/9e349b6b54c9/gkaa309fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4b/7319446/834e625a26c5/gkaa309fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4b/7319446/9e349b6b54c9/gkaa309fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4b/7319446/834e625a26c5/gkaa309fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4b/7319446/9e349b6b54c9/gkaa309fig2.jpg

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