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Abstract
A new protocol for analyzing amplicon sequencing data from genome editing experiments is presented.
- The protocol focuses on analyzing allele mixtures generated by various genome editing techniques.
- Key elements include preparing reference sequences and FASTQ files for analysis.
- Interpretation of genotype distributions, repair signatures, editing efficiencies, and allelic dropout is detailed.
- The approach may enhance the accuracy of genotyping in complex editing scenarios.
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