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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| 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 |