DAJINは意図するゲノム編集変異と意図しないゲノム編集変異を網羅的に識別・分類する

・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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