Abstract
Low-frequency genetic variants in cancer genome datasets are often simply artifacts of DNA damage introduced by routine sample preparation, not tumor-driving mutations. A new algorithm found that around three quarters of all the samples in The Cancer Genome Atlas contain large numbers of these sequencing errors.
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