Abstract: A system, method, and computer-readable medium for detecting a CRISPR-edited genome are disclosed. Certain embodiments of the system may include one or more processors configured to receive sequence data of a genome; generate an image representation of the sequenced data, the image being a plot of methylation variations as a function of methylation locations in the genome; apply the generated image representation to a trained convoluted neural network (CNN); generate, using the CNN, a score indicative of a probability that the genome was CRISPR-edited; and determine, based on the score, whether the genome contains a CRISPR-edited methylation region. A corresponding method and computer-readable medium are also provided.

Abstract: A system, method, and computer-readable medium for detecting a CRISPR-edited genome are disclosed. Certain embodiments of the system may include one or more processors configured to receive sequence data of a genome; generate an image representation of the sequenced data, the image being a plot of methylation variations as a function of methylation locations in the genome; apply the generated image representation to a trained convoluted neural network (CNN); generate, using the CNN, a score indicative of a probability that the genome was CRISPR-edited; and determine, based on the score, whether the genome contains a CRISPR-edited methylation region. A corresponding method and computer-readable medium are also provided.

Abstract: A system, method, and computer-readable medium for detecting a CRISPR-edited genome are disclosed. Certain embodiments of the system may include one or more processors configured to receive input sequence data of a genome; provide the input sequence data to a long short-term memory (LSTM) autoencoder neural network (ANN) having at least one encoder layer and at least one decoder layer, wherein the LSTM ANN was trained using a training data sequence of a genome without CRISPR edits; reduce, using the encoder layer, a dimensionality of the input sequence data to generate reduced data; restore, using the decoder layer, a dimensionality of the reduced data to generate restored data; statistically compare the input sequence data and the restored data to identify anomalies in the genome; and determine, based on a result of the statistical comparison, whether the genome contains a CRISPR-edited methylation region. A corresponding method and computer-readable medium are also provided.