INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
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DOI：
10.1093/bioinformatics/btw674
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发表时间：
2017-02-15
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影响因子：
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通讯作者：
Maher CA
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文献类型：
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作者：
Zhang J;Mardis ER;Maher CA
虽然高通量测序（HTS）已成功用于从体细胞错义突变中发现肿瘤特异性突变肽（新抗原），但该领域目前缺乏用于鉴定哪些基因融合体可产生新抗原的方法。我们通过鉴定可能产生新抗原的前列腺癌中的基因融合来展示我们的基因融合新抗原发现管道（称为INTEGRATE-Neo）的应用。INTEGRATE-Neo用C++和Python实现。完整的源代码和安装说明可以从https://github.com/ChrisMaherLab/INTEGRATE-Neo免费获得。 补充数据可在Bioinformatics在线获得。
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. Supplementary data are available at Bioinformatics online.