Structural variant detection in cancer genomes: computational challenges and perspectives for precision oncology
Abstract Cancer is generally characterized by acquired genomic aberrations in a broad spectrum of types and sizes, ranging from single nucleotide variants to structural variants (SVs). At least 30% of cancers have a known pathogenic SV used in diagnosis or treatment stratification. However, research...
Guardado en:
Autores principales: | Ianthe A. E. M. van Belzen, Alexander Schönhuth, Patrick Kemmeren, Jayne Y. Hehir-Kwa |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/54120bba32934727835d00e52dbb27cf |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Circulating tumor cells: quintessential precision oncology presenting challenges for biology
por: Rebecca J. Morris
Publicado: (2017) -
Precision oncology- the future of personalized cancer medicine?
por: Ann M. Bode, et al.
Publicado: (2017) -
Artificial intelligence for the next generation of precision oncology
por: Pedro J. Ballester, et al.
Publicado: (2021) -
A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial
por: Istvan Petak, et al.
Publicado: (2021) -
Network-based machine learning and graph theory algorithms for precision oncology
por: Wei Zhang, et al.
Publicado: (2017)