CHOPCHOP
CHOPCHOP identifies CRISPR-Cas single guide RNA targets for targeted mutagenesis, RNA targeting, and diverse CRISPR applications across over 200 genomes.
Key Features:
- CRISPR effector support: Supports Cas9, Cas9 nickase, Cas13, Cpf1/CasX, and TALEN-directed mutagenesis.
- RNA targeting with Cas13: Enables precise RNA targeting with support for alternative transcript isoforms and RNA accessibility prediction using ViennaRNA's RNAfold.
- DNA targeting modes: Includes CRISPR activation/repression, targeted enrichment of loci for long-read sequencing, and prediction of Cas9 repair outcomes.
- Genome and search capabilities: Supports over 200 genomes with whole-gene targeting and versatile search modes.
- Visualization: Displays results with alternative isoforms and downstream ATG sites to aid in avoiding truncated protein expression.
- Command-line version: Available for larger queries and handling unsupported genomes with additional functionalities.
- Off-target prediction: Rigorously predicts off-target binding of sgRNAs and TALENs.
- Custom sgRNA length support: Provides support for custom length sgRNAs to increase targeting range and specificity.
- Sequence composition evaluation: Evaluates the sequence composition of the whole sgRNA and its surrounding region using models compiled from multiple large-scale studies.
- Restriction sites and primer visualization: Visualizes restriction sites and primer candidates for each possible target site.
Scientific Applications:
- Gene knock-out: Designs gRNAs for efficient gene knockout across supported genomes.
- RNA knock-down: Designs gRNAs for targeted RNA degradation using Cas13.
- Sequence knock-in: Designs gRNAs for knock-in applications using homologous recombination or non-homologous end joining.
- dCas9 fusion/effector targeting: Designs gRNAs for CRISPR activation and repression applications.
- Targeted enrichment for long-read sequencing: Enriches loci for long-read sequencing applications.
- Cas9 repair outcome prediction: Predicts repair outcomes following Cas9-induced DNA cleavage.
- Transgenic or plasmid sequence targeting: Designs gRNAs for targeting transgenic or plasmid sequences.
- Cas9 nickase applications: Designs gRNAs for knock-in using Cas9 nickases.
Methodology:
CHOPCHOP uses efficient sequence alignment algorithms to minimize search times and evaluates sgRNA sequence composition using models compiled from multiple large-scale studies. RNA accessibility predictions employ ViennaRNA's RNAfold.
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- Python
- Added:
- 3/11/2016
- Last Updated:
- 8/3/2023
Operations
Data Inputs & Outputs
Deposition
Prediction and recognition
Publications
Documentation
API documentation
https://developer.atlassian.com/cloud/bitbucket/rest/api-group-downloads/#api-group-downloadsBitbucket REST API documentation
Citation instructions', 'FAQ
http://chopchop.cbu.uib.no/faqCommand-line options
https://bitbucket.org/valenlab/chopchop/src/master/README.mdUser manual
http://chopchop.cbu.uib.no/instructionsDownloads
- Downloads pagehttps://bitbucket.org/valenlab/chopchop/downloads/Download repository
- Source codeVersion: 1https://bitbucket.org/valenlab/chopchop/src/develop/
- Source codeVersion: 2https://bitbucket.org/valenlab/chopchop/src/CHOPCHOPv2/
- Source codeVersion: 3https://bitbucket.org/valenlab/chopchop/src/master/Latest release as of 3 August 2023
Links
Issue tracker', 'Repository
https://bitbucket.org/valenlab/chopchop/(Command-line tool for running CHOPCHOP locally.)
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