INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery

INTEGRATE-neo:用于个性化基因融合新抗原发现的流程

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Abstract

MOTIVATION: 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. RESULTS: 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. AVAILABILITY AND IMPLEMENTATION: INTEGRATE-Neo is implemented in C ++ and Python. Full source code and installation instructions are freely available from https://github.com/ChrisMaherLab/INTEGRATE-Neo . CONTACT: christophermaher@wustl.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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