AutoESD
AutoESD automates editing sequence design (ESD) for targeted deletion, insertion, and substitution in microorganisms to enable precise genetic manipulations such as homologous recombination across diverse genomic loci and species.
Key Features:
- Automation: Automates the ESD process to standardize data formats and reduce design errors.
- Comprehensive design capability: Supports design of editing sequences for genetic manipulation techniques, including homologous recombination, across different genomic loci and species.
- Versatility: Processes multiple manipulation types, including coding sequence (CDS) and intergenic region edits, within a single submission.
- Cloud-based serverless architecture: Employs a serverless cloud architecture enabling parallel processing of hundreds of tasks, each potentially involving thousands of targets, to support large-scale designs with reliability and scalability.
Scientific Applications:
- Genome engineering: Enables high-throughput design of edits for constructing and modifying genomes across species and loci.
- Synthetic biology: Supports design of sequence edits for constructing engineered pathways and genetic circuits.
- Functional genomics: Facilitates targeted deletions, insertions, and substitutions to interrogate gene function.
- Microbial engineering: Provides editing sequence design tailored for genetic manipulation in microorganisms.
Methodology:
Leverages screening markers to design editing sequences tailored for specific genetic manipulations and uses a serverless cloud-based architecture to enable parallel processing of large-scale tasks.
Topics
Details
- License:
- Not licensed
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 9/2/2022
- Last Updated:
- 9/2/2022
Operations
Publications
Yang Y, Mao Y, Wang R, Li H, Liu Y, Cheng H, Shi Z, Wang Y, Wang M, Zheng P, Liao X, Ma H. AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms. Nucleic Acids Research. 2022;50(W1):W75-W82. doi:10.1093/nar/gkac417. PMID:35639727. PMCID:PMC9252779.