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OmicsAnalyst:一个用于多组学数据可视化分析的综合性网络平台。

OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data.

机构信息

Institute of Parasitology, McGill University, Montreal, Quebec, Canada.

Department of Natural Resource Sciences, McGill University, Montreal, Quebec, Canada.

出版信息

Nucleic Acids Res. 2021 Jul 2;49(W1):W476-W482. doi: 10.1093/nar/gkab394.

DOI:10.1093/nar/gkab394
PMID:34019646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8262745/
Abstract

Data analysis and interpretation remain a critical bottleneck in current multi-omics studies. Here, we introduce OmicsAnalyst, a user-friendly, web-based platform that allows users to perform a wide range of well-established data-driven approaches for multi-omics integration, and visually explore their results in a clear and meaningful manner. To help navigate complex landscapes of multi-omics analysis, these approaches are organized into three visual analytics tracks: (i) the correlation network analysis track, where users choose among univariate and multivariate methods to identify important features and explore their relationships in 2D or 3D networks; (ii) the cluster heatmap analysis track, where users apply several cutting-edge multi-view clustering algorithms and explore their results via interactive heatmaps; and (iii) the dimension reduction analysis track, where users choose among several recent multivariate techniques to reveal global data structures, and explore corresponding scores, loadings and biplots in interactive 3D scatter plots. The three visual analytics tracks are equipped with comprehensive options for parameter customization, view customization and targeted analysis. OmicsAnalyst lowers the access barriers to many well-established methods for multi-omics integration via novel visual analytics. It is freely available at https://www.omicsanalyst.ca.

摘要

数据分析和解释仍然是当前多组学研究中的一个关键瓶颈。在这里,我们介绍了 OmicsAnalyst,这是一个用户友好的、基于网络的平台,允许用户执行广泛的经过验证的数据驱动方法,用于多组学整合,并以清晰而有意义的方式直观地探索他们的结果。为了帮助导航多组学分析的复杂领域,这些方法被组织成三个可视化分析轨道:(i)相关网络分析轨道,用户可以在单变量和多变量方法之间进行选择,以识别重要特征并在 2D 或 3D 网络中探索它们之间的关系;(ii)聚类热图分析轨道,用户应用几种最先进的多视图聚类算法,并通过交互式热图探索结果;以及(iii)降维分析轨道,用户可以在几种最新的多元技术中进行选择,以揭示全局数据结构,并在交互式 3D 散点图中探索相应的得分、载荷和双标图。这三个可视化分析轨道配备了全面的参数定制、视图定制和针对性分析选项。OmicsAnalyst 通过新颖的可视化分析,降低了对许多经过验证的多组学整合方法的访问壁垒。它可以在 https://www.omicsanalyst.ca 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/6087616846ce/gkab394fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/cda80a0246bb/gkab394gra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/651881b802c1/gkab394fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/6087616846ce/gkab394fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/cda80a0246bb/gkab394gra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/651881b802c1/gkab394fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ad/8262745/6087616846ce/gkab394fig2.jpg

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