The invention belongs to the technical field of biological detection, and discloses a transgenic
crop intelligent identification method based on high-
throughput sequencing, which comprises the following steps: acquiring multi-platform high-
throughput sequencing
original data and sample
metadata, evaluating quality by platforms, dividing according to a sample partitioning rule, and generating a quality-controlled data block set; distributing data blocks to a plurality of
parallel computing nodes, synchronously executing technical detection to obtain technical fact fragments, aggregating and supplementing batch statistical information, and generating a technical fact report; matching the judgment rule set, carrying out parallel judgment, triggering expert rechecking on boundary cases, and integrating to generate a supervision judgment conclusion set; the method comprises the following steps: extracting original sequencing reads of all samples, generating a unique hash for each read, constructing a
processing track chain, integrating
metadata and visual evidence, generating a credible
authentication report, dividing different scene versions, and performing targeted distribution; and extracting identification cases for mining and clustering, generating optimization suggestions, and feeding back the optimization suggestions to the
quality control rule base and the judgment rule base.