GeNeo: A Bioinformatics Toolbox for Genomics-Guided Neoepitope Prediction.
J Comput Biol
; 30(4): 538-551, 2023 04.
Article
em En
| MEDLINE
| ID: mdl-36999902
ABSTRACT
High-throughput DNA and RNA sequencing are revolutionizing precision oncology, enabling personalized therapies such as cancer vaccines designed to target tumor-specific neoepitopes generated by somatic mutations expressed in cancer cells. Identification of these neoepitopes from next-generation sequencing data of clinical samples remains challenging and requires the use of complex bioinformatics pipelines. In this paper, we present GeNeo, a bioinformatics toolbox for genomics-guided neoepitope prediction. GeNeo includes a comprehensive set of tools for somatic variant calling and filtering, variant validation, and neoepitope prediction and filtering. For ease of use, GeNeo tools can be accessed via web-based interfaces deployed on a Galaxy portal publicly accessible at https//neo.engr.uconn.edu/. A virtual machine image for running GeNeo locally is also available to academic users upon request.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article