Department of Bioinformatics and Genomics, UNC Charlotte, Charlotte, NC 28223, USA.
UNC Charlotte Bioinformatics Service Division, North Carolina Research Campus, Kannapolis, NC 28081, USA.
Nucleic Acids Res. 2017 Jul 3;45(W1):W501-W508. doi: 10.1093/nar/gkx372.
Pathway analysis is widely used in omics studies. Pathway-based data integration and visualization is a critical component of the analysis. To address this need, we recently developed a novel R package called Pathview. Pathview maps, integrates and renders a large variety of biological data onto molecular pathway graphs. Here we developed the Pathview Web server, as to make pathway visualization and data integration accessible to all scientists, including those without the special computing skills or resources. Pathview Web features an intuitive graphical web interface and a user centered design. The server not only expands the core functions of Pathview, but also provides many useful features not available in the offline R package. Importantly, the server presents a comprehensive workflow for both regular and integrated pathway analysis of multiple omics data. In addition, the server also provides a RESTful API for programmatic access and conveniently integration in third-party software or workflows. Pathview Web is openly and freely accessible at https://pathview.uncc.edu/.
通路分析在组学研究中得到了广泛的应用。基于通路的数据分析和可视化是分析的关键组成部分。为了满足这一需求,我们最近开发了一个名为 Pathview 的新型 R 包。Pathview 图谱将大量的生物数据集成并呈现在分子通路上。在这里,我们开发了 Pathview Web 服务器,以使通路可视化和数据集成能够为所有科学家所用,包括那些没有特殊计算技能或资源的科学家。Pathview Web 具有直观的图形化 Web 界面和以用户为中心的设计。该服务器不仅扩展了 Pathview 的核心功能,还提供了许多离线 R 包中没有的有用功能。重要的是,该服务器为多个组学数据的常规和集成通路分析提供了一个全面的工作流程。此外,该服务器还提供了一个用于程序访问的 RESTful API,以及在第三方软件或工作流程中方便集成的途径。Pathview Web 可在 https://pathview.uncc.edu/ 免费公开访问。