MOAT: efficient detection of highly mutated regions with the Mutations Overburdening Annotations Tool
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DOI: 10.1093/bioinformatics/btx700
Abstract: 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… read more here.
Keywords: annotations tool; detection; tool moat; mutations overburdening ... See more keywords