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Immunocytochemistry and Immunohistochemistry

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Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

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ImmunoNodes - graphical development of complex immunoinformatics workflows.

Benjamin Schubert^1,2,3, Luis de la Garza^4,5, Christopher Mohr^4,5

¹Center for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany. benjamin_schubert@hms.harvard.edu.

BMC Bioinformatics

|May 10, 2017

Summary

This summary is machine-generated.

We developed ImmunoNodes, a new immunoinformatics toolbox. This tool integrates with KNIME, enabling complex bioinformatics analyses without coding, making immunoinformatics more accessible.

Keywords:

Immunoinformatics KNIME Workflow

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Area of Science:

Biomedical research
Computational biology
Immunoinformatics

Background:

Immunoinformatics is vital in biomedical research.
Many immunoinformatics tools are command-line based, posing installation challenges.
Web-based tools lack integration capabilities for complex analysis pipelines.

Purpose of the Study:

To present ImmunoNodes, an integrated immunoinformatics toolbox.
To simplify the creation of complex immunoinformatics analysis workflows.
To enhance accessibility for researchers without extensive coding expertise.

Main Methods:

Integration of immunoinformatics tools into the KNIME visual workflow environment.
Development of a drag-and-drop interface for workflow construction.
Leveraging KNIME's data flow capabilities for pipeline development.

Main Results:

ImmunoNodes provides a fully integrated immunoinformatics toolbox within KNIME.
Users can construct complex analysis pipelines through visual programming.
Complex workflows can be built without requiring any programming skills.

Conclusions:

ImmunoNodes offers an intuitive and user-friendly interface for building complex immunoinformatics workflows.
The toolbox empowers researchers to perform advanced analyses on any desktop computer.
Facilitates easier adoption and application of immunoinformatics in research.