INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 27797777.
- Also identified by DOI 10.1093/bioinformatics/btw674 and PMC identifier 5408800.
- Licence recorded as CC BY-NC.
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Abstract
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.
Medical subject headings
- Antigens, Neoplasm
- Gene Fusion
- Genomics
- Prostatic Neoplasms
- Software