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INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery.
Zhang, Jin; Mardis, Elaine R; Maher, Christopher A.
Afiliação
  • Zhang J; McDonnell Genome Institute.
  • Mardis ER; Department of Internal Medicine.
  • Maher CA; Siteman Cancer Center.
Bioinformatics ; 33(4): 555-557, 2017 02 15.
Article em En | MEDLINE | ID: mdl-27797777
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Software / Genômica / Fusão Gênica / Antígenos de Neoplasias Limite: Humans / Male Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Software / Genômica / Fusão Gênica / Antígenos de Neoplasias Limite: Humans / Male Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article