FRED 2: an immunoinformatics framework for Python

Schubert, B; Walzer, M; Brachvogel, H-B; Szolek, A; Mohr , C; Kohlbacher, O

doi:10.1093/bioinformatics/btw113

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FRED 2: an immunoinformatics framework for Python

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Kohlbacher, O
Research Group Biomolecular Interactions, Max Planck Institute for Developmental Biology, Max Planck Society;

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Citation

Schubert, B., Walzer, M., Brachvogel, H.-B., Szolek, A., Mohr, C., & Kohlbacher, O. (2016). FRED 2: an immunoinformatics framework for Python. Bioinformatics, 32(13), 2044-2046. doi:10.1093/bioinformatics/btw113.

Cite as: https://hdl.handle.net/21.11116/0000-000A-93D6-E

Abstract

Immunoinformatics approaches are widely used in a variety of applications from basic immunological to applied biomedical research. Complex data integration is inevitable in immunological research and usually requires comprehensive pipelines including multiple tools and data sources. Non-standard input and output formats of immunoinformatics tools make the development of such applications difficult. Here we present FRED 2, an open-source immunoinformatics framework offering easy and unified access to methods for epitope prediction and other immunoinformatics applications. FRED 2 is implemented in Python and designed to be extendable and flexible to allow rapid prototyping of complex applications.