Identification of cancer driver genes based on nucleotide context

Cancer genomes contain large numbers of somatic mutations, but few of these mutations drive tumor development. Current approaches identify driver genes based on mutational recurrence, or they approximate the functional consequences of nonsynonymous mutations using bioinformatic scores. While passeng...

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Detalles Bibliográficos
Autores principales: Dietlein, Felix, Weghorn, Donate, Taylor-Weiner, Amaro, Richters, André, Reardon, Brendan, Liu, David, Lander, Eric S., Van Allen, Eliezer M., Sunyaev, Shamil R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031046/
https://www.ncbi.nlm.nih.gov/pubmed/32015527
http://dx.doi.org/10.1038/s41588-019-0572-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031046/
https://www.ncbi.nlm.nih.gov/pubmed/32015527
http://dx.doi.org/10.1038/s41588-019-0572-y

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