Schubert Benjamin, de la Garza Luis, Mohr Christopher, Walzer Mathias, Kohlbacher Oliver
Center for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.
Applied Bioinformatics, Dept. of Computer Science, Tübingen, 72076, Germany.
BMC Bioinformatics. 2017 May 8;18(1):242. doi: 10.1186/s12859-017-1667-z.
Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications.
We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding.
ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer.
免疫信息学已成为生物医学研究的关键部分。然而，许多免疫信息学工具仅具有命令行界面，并且可能难以安装。另一方面，基于网络的免疫信息学工具难以与其他工具集成，而这对于高级应用所需的复杂分析和预测流程来说通常是必需的。
我们展示了ImmunoNodes，这是一个完全集成到可视化工作流程环境KNIME中的免疫信息学工具箱。通过拖放工具并将它们连接起来以指示数据在管道中的流动，无需编码就可以构建非常复杂的工作流程。
ImmunoNodes允许用户在任何台式计算机上轻松点击几下，通过易于使用且直观的界面构建复杂的工作流程。
