Describes a new pipeline that analyses long-read amplicon data to detect complex CRISPR-induced edits and produces a user-friendly web interface.
Key Takeaways
- Long-read sequencing can characterize complex genome editing-induced DNA sequence changes such as large deletions
- Comprehensive analysis pipeline specifically designed for long-read amplicon sequencing of CRISPR-edited samples
- Variant calling—Aligned reads are analysed to identify mutation types