期刊论文详细信息
BMC Bioinformatics
ImmunoNodes – graphical development of complex immunoinformatics workflows
Software
Mathias Walzer1  Christopher Mohr1  Luis de la Garza1  Benjamin Schubert2  Oliver Kohlbacher3 
[1] Center for Bioinformatics, University of Tübingen, 72076, Tübingen, Germany;Applied Bioinformatics, Dept. of Computer Science, 72076, Tübingen, Germany;Center for Bioinformatics, University of Tübingen, 72076, Tübingen, Germany;Applied Bioinformatics, Dept. of Computer Science, 72076, Tübingen, Germany;Department of Cell Biology, Harvard Medical School, Harvard University, 02115, Boston, MA, USA;Center for Bioinformatics, University of Tübingen, 72076, Tübingen, Germany;Applied Bioinformatics, Dept. of Computer Science, 72076, Tübingen, Germany;Quantitative Biology Center (QBiC), 72076, Tübingen, Germany;Faculty of Medicine, University of Tübingen, 72076, Tübingen, Germany;Biomolecular Interactions, Max Planck Institute for Developmental Biology, 72076, Tübingen, Germany;
关键词: Immunoinformatics;    KNIME;    Workflow;   
DOI  :  10.1186/s12859-017-1667-z
 received in 2016-12-15, accepted in 2017-04-30,  发布年份 2017
来源: Springer
PDF
【 摘 要 】

BackgroundImmunoinformatics 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.ResultWe 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.ConclusionImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer.

【 授权许可】

CC BY   
© The Author(s). 2017

【 预 览 】
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Fig. 2 476KB Image download
【 图 表 】

Fig. 2

12864_2017_4133_Article_IEq35.gif

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