Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Centre for BioImaging Sciences, National University of Singapore, Singapore, Singapore.
Nat Commun. 2021 Apr 16;12(1):2279. doi: 10.1038/s41467-021-22650-x.
Quantitative multi-omics data are difficult to interpret and visualize due to large volume of data, complexity among data features, and heterogeneity of information represented by different omics platforms. Here, we present multiSLIDE, a web-based interactive tool for the simultaneous visualization of interconnected molecular features in heatmaps of multi-omics data sets. multiSLIDE visualizes biologically connected molecular features by keyword search of pathways or genes, offering convenient functionalities to query, rearrange, filter, and cluster data on a web browser in real time. Various querying mechanisms make it adaptable to diverse omics types, and visualizations are customizable. We demonstrate the versatility of multiSLIDE through three examples, showcasing its applicability to a wide range of multi-omics data sets, by allowing users to visualize established links between molecules from different omics data, as well as incorporate custom inter-molecular relationship information into the visualization. Online and stand-alone versions of multiSLIDE are available at https://github.com/soumitag/multiSLIDE .
由于数据量庞大、数据特征之间的复杂性以及不同组学平台所代表的信息异质性,定量多组学数据难以解释和可视化。在这里,我们介绍了 multiSLIDE,这是一个基于网络的交互式工具,用于同时可视化多组学数据集热图中相互关联的分子特征。multiSLIDE 通过对途径或基因的关键字搜索来可视化具有生物学关联性的分子特征,提供了方便的功能,可以在网络浏览器上实时查询、重新排列、过滤和聚类数据。各种查询机制使其能够适应不同的组学类型,并且可视化是可定制的。我们通过三个示例展示了 multiSLIDE 的多功能性,通过允许用户可视化来自不同组学数据的分子之间已建立的联系,以及将自定义分子间关系信息纳入可视化,展示了其在广泛的多组学数据集上的适用性。multiSLIDE 的在线和独立版本可在 https://github.com/soumitag/multiSLIDE 上获得。