Abstract: A method for classifying individuals in mixtures of DNA is disclosed. The method comprises: Provide next-generation sequencing (NGS) data which comprises raw sequence reads originated from mixtures of DNA; performing a data processing procedure to generate a plurality of sparse matrix; and input the plurality of sparse matrix into a trained deep learning model installed on computers to classify individuals in the mixtures of DNA. In particular, the method is used to classify individuals in mixture of the DNAs from forensic dataset or whole exome sequencing dataset.

Abstract: The preferred embodiment of the present invention presents a method and a device for a host control unit to communicate over a protocol compliant bus via the introduction of an auxiliary command control unit that handles communications to and from the protocol compliant bus. The auxiliary command control unit converts the high level commands of the host control unit to low-level protocol compliant electrical signals for transmission across the bus and further converts low-level protocol compliant electrical signals received from the bus into high level commands for use by the host processor.