Rue-Albrecht Kevin, Marini Federico, Soneson Charlotte, Lun Aaron T L
Kennedy Institute of Rheumatology, University of Oxford, Oxford , OX3 7FY, UK.
Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
F1000Res. 2018 Jun 14;7:741. doi: 10.12688/f1000research.14966.1. eCollection 2018.
Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets.
数据探索对于理解由高通量检测（如测序）生成的大型生物数据集至关重要。然而，大多数现有的交互式可视化工具仅限于特定的检测或分析。在此，我们展示了iSEE（交互式汇总实验浏览器）软件包，它为在汇总实验对象中探索数据提供了一个通用的可视化界面。iSEE与许多现有的用于分析高通量生物数据的R/Bioconductor软件包直接兼容，并提供了有用的功能，如同时检查（元）数据和分析结果、图之间的动态链接以及用于可重复性的代码跟踪。我们通过将iSEE应用于探索一系列真实的转录组学和蛋白质组学数据集来证明其效用和灵活性。
