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Article

Statistical modeling for sensitive detection of low-frequency single nucleotide variants.

BMC genomics - 22 Aug 2016

Hao Yangyang, Zhang Pengyue, Xuei Xiaoling, Nakshatri Harikrishna, Edenberg Howard J, Li Lang, Liu Yunlong

Abstract excerpt

BACKGROUND: Sensitive detection of low-frequency single nucleotide variants carries great significance in many applications. In cancer genetics research, tumor biopsies are a mixture of normal and tumor cells from various subpopulations due to tumor heterogeneity. Thus the frequencies of somatic variants from a subpopulation tend to be low. Liquid biopsies, which monitor circulating tumor DNA in blood to detect...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 27556804
DOI: 10.1186/s12864-016-2905-x
PMCID: PMC5001245

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