Abstract: Disclosed are parallel encoding and decoding method and apparatus, a computer device, a storage medium, and a computer program product. The method includes: acquiring a synchronization node corresponding to a codec core, and transmitting a frame synchronization detection request to the synchronization node based on a frame to be encoded and decoded; acquiring a frame synchronization result corresponding to the frame synchronization detection request; and determining a encoding and decoding mode for the frame to be encoded and decoded based on the frame synchronization result, and encoding and decoding the frame to be encoded and decoded based on the encoding and decoding mode. By using the method, a plurality of codec cores can be employed to code and decode different frames in the same video in parallel, thereby improving the frame rate.

Abstract: Disclosed are parallel encoding and decoding method and apparatus, a computer device, a storage medium, and a computer program product. The method includes: acquiring a synchronization node corresponding to a codec core, and transmitting a frame synchronization detection request to the synchronization node based on a frame to be encoded and decoded; acquiring a frame synchronization result corresponding to the frame synchronization detection request; and determining a encoding and decoding mode for the frame to be encoded and decoded based on the frame synchronization result, and encoding and decoding the frame to be encoded and decoded based on the encoding and decoding mode. By using the method, a plurality of codec cores can be employed to code and decode different frames in the same video in parallel, thereby improving the frame rate.

Abstract: The present disclosure provides a method for identifying multi-copy regions in microorganism target fragments, which at least includes the followings: S100, searching for a candidate multi-copy region: performing an internal alignment on the microorganism target fragment, and searching for a region corresponding to a to-be-detected sequence of which the similarity meets a preset value as the candidate multi-copy region, the similarity being a product of a coverage rate and a matching rate of the to-be-detected sequence; S200, verifying and obtaining a multi-copy region: obtaining a median value of the copy numbers of the candidate multi-copy region; if the median value of the copy numbers of the candidate multi-copy region is greater than 1, the candidate is recorded as a multi-copy region. The method is high in accuracy and sensitivity. Undiscovered multi-copy regions can be identified even in incompletely assembled motifs. It is more comprehensive than 16srRNA which not always multi-copy.

Abstract: The present disclosure provides a method for obtaining species-specific consensus sequences of microorganisms, which at least includes the following operations: S100, searching for a candidate consensus sequence: clustering specific sequences of target strains belonging to the same species based on a clustering algorithm to obtain a plurality of candidate species-specific consensus sequences; S200, verifying and obtaining a primary screened species-specific consensus sequence: judging whether the candidate species-specific consensus sequences meet the following conditions: 1) the strain coverage rate meets a preset value; 2) the effective copy number meets a preset value; if the candidate meet all the conditions, determining that the candidate species-specific consensus sequences are species-specific consensus sequences.

Abstract: The present disclosure provides a method for identifying a specific region in a microorganism target fragment, including the following operations: S100, respectively comparing a microorganism target fragment with genome sequences of one or more comparison strain one-to-one, and removing fragments of which the similarity exceeds a preset value, to obtain a plurality of residual fragments as first-round cut fragments T1-Tn; S200, respectively comparing the first-round cut fragments T1-Tn with the remaining comparison strains, and removing fragments of which the similarity exceeds a preset value, to obtain a collection of residual cut fragments as a candidate specific region of the microorganism target fragment; and S300, verifying and obtaining a specific region. The method is high in accuracy and sensitivity which can identify the subspecies level and a dual-verification module is provided. The present disclosure is suitable for identifying a specific region in the whole genome of any pathogen.