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TIminer: NGS data mining pipeline for cancer immunology and immunotherapy.
Tappeiner, Elias; Finotello, Francesca; Charoentong, Pornpimol; Mayer, Clemens; Rieder, Dietmar; Trajanoski, Zlatko.
Afiliación
  • Tappeiner E; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Finotello F; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Charoentong P; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Mayer C; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Rieder D; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
  • Trajanoski Z; Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Bioinformatics ; 33(19): 3140-3141, 2017 Oct 01.
Article en En | MEDLINE | ID: mdl-28633385
ABSTRACT

SUMMARY:

Recently, a number of powerful computational tools for dissecting tumor-immune cell interactions from next-generation sequencing data have been developed. However, the assembly of analytical pipelines and execution of multi-step workflows are laborious and involve a large number of intermediate steps with many dependencies and parameter settings. Here we present TIminer, an easy-to-use computational pipeline for mining tumor-immune cell interactions from next-generation sequencing data. TIminer enables integrative immunogenomic analyses, including human leukocyte antigens typing, neoantigen prediction, characterization of immune infiltrates and quantification of tumor immunogenicity. AVAILABILITY AND IMPLEMENTATION TIminer is freely available at http//icbi.i-med.ac.at/software/timiner/timiner.shtml. CONTACT zlatko.trajanoski@i-med.ac.at. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Secuenciación de Nucleótidos de Alto Rendimiento / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Secuenciación de Nucleótidos de Alto Rendimiento / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Austria