Cargando…
nextNEOpi: a comprehensive pipeline for computational neoantigen prediction
SUMMARY: Somatic mutations and gene fusions can produce immunogenic neoantigens mediating anticancer immune responses. However, their computational prediction from sequencing data requires complex computational workflows to identify tumor-specific aberrations, derive the resulting peptides, infer pa...
Autores principales: | Rieder, Dietmar, Fotakis, Georgios, Ausserhofer, Markus, René, Geyeregger, Paster, Wolfgang, Trajanoski, Zlatko, Finotello, Francesca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796378/ https://www.ncbi.nlm.nih.gov/pubmed/34788790 http://dx.doi.org/10.1093/bioinformatics/btab759 |
Ejemplares similares
-
NeoFuse: predicting fusion neoantigens from RNA sequencing data
por: Fotakis, Georgios, et al.
Publicado: (2020) -
Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data
por: Sturm, Gregor, et al.
Publicado: (2020) -
TIminer: NGS data mining pipeline for cancer immunology and immunotherapy
por: Tappeiner, Elias, et al.
Publicado: (2017) -
Neoantigens Generated by Individual Mutations and Their Role in Cancer Immunity and Immunotherapy
por: Efremova, Mirjana, et al.
Publicado: (2017) -
INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery
por: Zhang, Jin, et al.
Publicado: (2017)