PICKLES
PICKLES aggregates and enables analysis of genome-scale CRISPR knockout fitness screens to characterize gene essentiality across human cell lines and tissue types.
Key Features:
- Integrated CRISPR libraries: Integrates data from the Avana, Score, and TKOv3 whole-genome CRISPR libraries.
- Data coverage: Compiles results from 1,162 whole-genome screens covering knockout fitness phenotypes for 18,959 genes.
- Gene-level fitness profiles: Provides gene knockout fitness phenotypes across diverse human cell lines and tissue types.
- Comparative analysis: Enables comparison of knockout fitness profiles with gene expression and mutation profiles.
Scientific Applications:
- Gene Function Analysis: Identification and characterization of essential genes from knockout fitness phenotypes.
- Comparative Genomics: Integration of fitness profiles with expression and mutation data to study gene interactions and regulatory mechanisms.
- Drug Target Identification: Prioritization of genes critical for cell survival as potential therapeutic targets.
Methodology:
Leverages pooled genome-scale CRISPR knockout libraries (Avana, Score, TKOv3) to systematically disrupt gene function and compiles screen results into a centralized database for high-throughput analysis.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 3/27/2023
- Last Updated:
- 3/27/2023
Operations
Publications
Novak LC, Chou J, Colic M, Bristow CA, Hart T. PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens. Nucleic Acids Research. 2022;51(D1):D1117-D1121. doi:10.1093/nar/gkac982. PMID:36350677. PMCID:PMC9825567.
DOI: 10.1093/nar/gkac982
PMID: 36350677
PMCID: PMC9825567
Funding: - NIGMS: R35GM130119
- NCI Cancer Center: P30CA16672
Links
Repository
https://github.com/hart-lab/PicklesV3