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- Jin Zhang, Elaine R Mardis, and Christopher A Maher.
- McDonnell Genome Institute.
- Bioinformatics. 2017 Feb 15; 33 (4): 555-557.
MotivationWhile high-throughput sequencing (HTS) has been used successfully to discover tumor-specific mutant peptides (neoantigens) from somatic missense mutations, the field currently lacks a method for identifying which gene fusions may generate neoantigens.ResultsWe demonstrate the application of our gene fusion neoantigen discovery pipeline, called INTEGRATE-Neo, by identifying gene fusions in prostate cancers that may produce neoantigens.Availability And ImplementationINTEGRATE-Neo is implemented in C ++ and Python. Full source code and installation instructions are freely available from https://github.com/ChrisMaherLab/INTEGRATE-Neo .Contactchristophermaher@wustl.edu.Supplementary InformationSupplementary data are available at Bioinformatics online.© The Author 2016. Published by Oxford University Press.
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