･DAJIN, a machine learning-based model, identifies and quantifies allele numbers and their mutation patterns and reports consensus sequences to visualize mutations in alleles at single-nucleotide resolutions.
･One of DAJIN’s distinguishing features is its automatic allele clustering and annotation, as well as the utilization of a long-read sequencer, and can identify cis-or trans-heterozygosity and complex mutant alleles such as unexpected indels and Large rearrangements.
･It is preeminent in multi specimen processing due to its PCR-based barcoding, enabling multiplexed sequencing and allowing sufficient coverage of numerous samples in a single run.
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