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Annual Commencement
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Integration of Germline and Somatic Variation in Tumor Data
HATS is designed to handle biases in read data as well as accommodate rare variants. We demonstrate that HATS infers the amplified alleles more accurately on simulated and real tumor data than does an alternate naïve approach, especially at low to intermediate sequence coverage levels, and when allele-specific biases or stromal contamination is present. We present these methods with the motivation that they may aid the cancer community in identifying novel causal or associated putative variants.
