Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate

Non-coding mutations may drive cancer development. Statistical detection of non-coding driver regions is challenged by a varying mutation rate and uncertainty of functional impact. Here, we develop a statistically founded non-coding driver-detection method, ncdDetect, which includes sample-specific...

Descripción completa

Detalles Bibliográficos
Autores principales: Juul, Malene, Bertl, Johanna, Guo, Qianyun, Nielsen, Morten Muhlig, Świtnicki, Michał, Hornshøj, Henrik, Madsen, Tobias, Hobolth, Asger, Pedersen, Jakob Skou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440169/
https://www.ncbi.nlm.nih.gov/pubmed/28362259
http://dx.doi.org/10.7554/eLife.21778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440169/
https://www.ncbi.nlm.nih.gov/pubmed/28362259
http://dx.doi.org/10.7554/eLife.21778

Ejemplares similares