MOAT: efficient detection of highly mutated regions with the Mutations Overburdening Annotations Tool

SUMMARY: Identifying genomic regions with higher than expected mutation count is useful for cancer driver detection. Previous parametric approaches require numerous cell-type-matched covariates for accurate background mutation rate (BMR) estimation, which is not practical for many situations. Non-pa...

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Detalles Bibliográficos
Autores principales: Lochovsky, Lucas, Zhang, Jing, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860157/
https://www.ncbi.nlm.nih.gov/pubmed/29121169
http://dx.doi.org/10.1093/bioinformatics/btx700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860157/
https://www.ncbi.nlm.nih.gov/pubmed/29121169
http://dx.doi.org/10.1093/bioinformatics/btx700

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