pegIT
pegIT automates design of prime editing guide RNAs (pegRNAs) for prime editing by generating pegRNAs that encode user-defined edits for Cas9–reverse transcriptase–mediated precise genomic modifications without inducing double-stranded DNA breaks.
Key Features:
- Automated pegRNA generation: Generates pegRNAs tailored to user-defined edits to implement specified prime editing outcomes.
- Dual-function pegRNA handling: Accounts for the dual role of pegRNAs as both guide molecules and reverse-transcription templates.
- Multiple editing scenario support: Handles multiple editing scenarios simultaneously for varied editing designs.
- High-throughput design support: Supports large-scale pegRNA design workflows to meet high-throughput requirements.
- Error reduction: Reduces errors associated with manual pegRNA design by automating complex design steps.
Scientific Applications:
- Prime editing implementation: Enables design of pegRNAs for precise genomic modifications using prime editing without inducing double-stranded DNA breaks.
- High-throughput genome editing studies: Facilitates large-scale pegRNA design for high-throughput experimental workflows.
- Therapeutic development: Supports pegRNA design efforts relevant to development of therapeutic genome-editing strategies.
Methodology:
Automated computational generation of pegRNAs tailored to user-defined edits, accommodating multiple editing scenarios and the dual guide-and-template functionality of pegRNAs to support high-throughput design.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 10/28/2021
- Last Updated:
- 10/28/2021
Operations
Publications
Anderson MV, Haldrup J, Thomsen EA, Wolff JH, Mikkelsen JG. pegIT - a web-based design tool for prime editing. Nucleic Acids Research. 2021;49(W1):W505-W509. doi:10.1093/nar/gkab427. PMID:34060619. PMCID:PMC8265180.
DOI: 10.1093/NAR/GKAB427
PMID: 34060619
PMCID: PMC8265180
Funding: - Lundbeck Foundation: R230-2016-2986, R324-2019-1832
Documentation
User manual
https://pegit.giehmlab.dk/instructionsLinks
Repository
https://github.com/dkmva/pegit