Archer DX

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High coverage and noise characterization of CEBPA for sensitive and specific variant detection

CEBPA mutations are important prognostic indicators in AML, however detecting CEBPA mutations by NGS is challenging due to high GC content. Here, we show that AMP-based NGS provides maximum coverage of CEBPA and we demonstrate the use of normalization datasets to assess the noise at each base position to calculate the per-base variant detection sensitivity across CEBPA, expressed as 95 MDAF.

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