FRED2 - An Immunoinformatics Framework for Python
Copyright 2014 by Benjamin Schuber, Mathias Walzer, Philipp Brachvogel, Andras Szolek, Christopher Mohr, and Oliver Kohlbacher
FRED is a framework for T-cell epitope detection, and vaccine design. It offers consistent, easy, and simultaneous access to well established prediction methods of computational immunology. FRED can handle polymorphic proteins and offers analysis tools to select, assemble, and design linker sequences for string-of-beads epitope-based vaccines. It is implemented in Python in a modular way and can easily be extended by user defined methods.
Fred2 is released under the three clause BSD licence.
use the following commands:
$ pip install git+https://github.com/FRED-2/Fred2
Thrid-Party Software (not installed through pip)
- NetMHC predictor family (NetMHC(pan)-(I/II), NetChop, NetCTL) (http://www.cbs.dtu.dk/services/software.php)
- PickPocket (http://www.cbs.dtu.dk/services/software.php)
- Integer Linear Programming Solver (recommended CBC: https://projects.coin-or.org/Cbc)
Please pay attanention to the different licensings of the third party tools.
How to Cite
Schubert, B., Walzer, M., Brachvogel, H-P., Sozolek, A., Mohr, C., and Kohlbacher, O. (2016). FRED 2 - An Immunoinformatics Framework for Python. Bioinformatics 2016; doi: 10.1093/bioinformatics/btw113
and the original publications of the used methods.