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FRED 2: an immunoinformatics framework for Python
Summary: 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-sta...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920123/ https://www.ncbi.nlm.nih.gov/pubmed/27153717 http://dx.doi.org/10.1093/bioinformatics/btw113 |
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author | Schubert, Benjamin Walzer, Mathias Brachvogel, Hans-Philipp Szolek, András Mohr, Christopher Kohlbacher, Oliver |
author_facet | Schubert, Benjamin Walzer, Mathias Brachvogel, Hans-Philipp Szolek, András Mohr, Christopher Kohlbacher, Oliver |
author_sort | Schubert, Benjamin |
collection | PubMed |
description | Summary: 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. Availability and implementation: FRED 2 is available at http://fred-2.github.io Contact: schubert@informatik.uni-tuebingen.de Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4920123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49201232016-06-27 FRED 2: an immunoinformatics framework for Python Schubert, Benjamin Walzer, Mathias Brachvogel, Hans-Philipp Szolek, András Mohr, Christopher Kohlbacher, Oliver Bioinformatics Applications Notes Summary: 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. Availability and implementation: FRED 2 is available at http://fred-2.github.io Contact: schubert@informatik.uni-tuebingen.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-07-01 2016-02-26 /pmc/articles/PMC4920123/ /pubmed/27153717 http://dx.doi.org/10.1093/bioinformatics/btw113 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Schubert, Benjamin Walzer, Mathias Brachvogel, Hans-Philipp Szolek, András Mohr, Christopher Kohlbacher, Oliver FRED 2: an immunoinformatics framework for Python |
title | FRED 2: an immunoinformatics framework for Python |
title_full | FRED 2: an immunoinformatics framework for Python |
title_fullStr | FRED 2: an immunoinformatics framework for Python |
title_full_unstemmed | FRED 2: an immunoinformatics framework for Python |
title_short | FRED 2: an immunoinformatics framework for Python |
title_sort | fred 2: an immunoinformatics framework for python |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920123/ https://www.ncbi.nlm.nih.gov/pubmed/27153717 http://dx.doi.org/10.1093/bioinformatics/btw113 |
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