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Zhang, Jin; Mardis, Elaine R; Maher, Christopher A
Bioinformatics, 02/2017, Volume: 33, Issue: 4Journal Article
While 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. We demonstrate the application of our gene fusion neoantigen discovery pipeline, called INTEGRATE-Neo, by identifying gene fusions in prostate cancers that may produce neoantigens. INTEGRATE-Neo is implemented in C ++ and Python. Full source code and installation instructions are freely available from https://github.com/ChrisMaherLab/INTEGRATE-Neo . christophermaher@wustl.edu. Supplementary data are available at Bioinformatics online.
