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OpenVax: An Open-Source Computational Pipeline for Cancer Neoantigen Prediction.
Kodysh, Julia; Rubinsteyn, Alex.
Afiliação
  • Kodysh J; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. julia@openvax.org.
  • Rubinsteyn A; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Methods Mol Biol ; 2120: 147-160, 2020.
Article em En | MEDLINE | ID: mdl-32124317
ABSTRACT
OpenVax is a computational workflow for identifying somatic variants, predicting neoantigens, and selecting the contents of personalized cancer vaccines. It is a Dockerized end-to-end pipeline that takes as input raw tumor/normal sequencing data. It is currently used in three clinical trials (NCT02721043, NCT03223103, and NCT03359239). In this chapter, we describe how to install and use OpenVax, as well as how to interpret the generated results.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genômica / Antígenos de Neoplasias / Neoplasias Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genômica / Antígenos de Neoplasias / Neoplasias Idioma: En Ano de publicação: 2020 Tipo de documento: Article