01 Data analysis based on machine learning;
02 Equipped with learning and evolution functions, it can update new data types in the model, making the classification results more and more accurate and reducing the amount of manual calibration work;
03 SNP typing results can be automatically identified and classified;
04 Automatically associate samples and results;
05 For SNP genotyping samples that are difficult to determine, intelligent determination and automated genotyping can be performed through training;
06 Lifetime free software upgrades.