Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.



Permits to build complex workflows. ImmunoNodes is integrated in KNIME that provides a way to predict Human Leukocyte Antigen (HLA) binding, HLA class I antigen processing, HLA genotyping, as well as epitope-based vaccine design including epitope-selection and string-of-beads assembly. It allows users to develop complex analysis workflows without the need of having mastered a programming language. The tool offers the possibility to diffuse the usage of state-of-the-art immuno-informatics methods.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

ImmunoNodes forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

ImmunoNodes classification

ImmunoNodes specifications

Software type:
Restrictions to use:
Programming languages:
Computer skills:
KNIME, Docker, GKN
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
BSD 3-clause “New” or “Revised” License

ImmunoNodes distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.


ImmunoNodes support


  • Benjamin Schubert <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Center for Bioinformatics, University of Tübingen, Tübingen, Germany; Applied Bioinformatics, Dept. of Computer Science, Tübingen, Germany; Department of Cell Biology, Harvard Medical School, Harvard University, Boston, MA, USA; Quantitative Biology Center (QBiC), Tübingen, Germany; Faculty of Medicine, University of Tübingen, Tübingen, Germany; Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany

Funding source(s)

Supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 633592 (APERIM) and by the Deutsche Forschungsgemeinschaft (SFB685/B1).

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.