Abstract: A method for training a deep neural network model based on a known genome sequence includes receiving the known genome sequence; training the deep neural network model with a current negative set obtained from the known genome sequence; applying the deep neural network model to the known genome sequence and recording false positive sets; selecting a subset of the new false positive sets; updating the current negative set with the new false positive sets; and repeating the steps of training, applying, selecting and updating until a number of the new false positive sets is smaller than a given threshold.