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Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
Bioinformatics 2017 Februrary 16
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: [email protected].
Supplementary information: Supplementary data are available at Bioinformatics online.
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: [email protected].
Supplementary information: Supplementary data are available at Bioinformatics online.
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