JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data

JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data

Motivation: Identification of somatic single nucleotide variants (SNVs) in tumour genomes is a necessary step in defining the mutational landscapes of cancers. Experimental designs for genome-wide ascertainment of somatic mutations now routinely include next-generation sequencing (NGS) of tumour DNA...

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Bibliographic Details
Main Authors: Roth, Andrew, Ding, Jiarui, Morin, Ryan, Crisan, Anamaria, Ha, Gavin, Giuliany, Ryan, Bashashati, Ali, Hirst, Martin, Turashvili, Gulisa, Oloumi, Arusha, Marra, Marco A., Aparicio, Samuel, Shah, Sohrab P.
Format: Online
Language:English
Published: Oxford University Press 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315723/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315723/

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