gCrisprTools
gCrisprTools analyzes pooled high-throughput CRISPR/Cas9 and short hairpin RNA (shRNA) screening data to evaluate library and cassette behavior, identify differentially abundant cassettes, aggregate signals, and prioritize candidate targets.
Key Features:
- Library and Cassette Behavior Analysis: Implements methods to quantify and characterize the behavior of libraries and individual expression cassettes across experimental conditions.
- Identification of Differentially Abundant Cassettes: Identifies cassettes showing differential abundance across samples or conditions.
- Signal Aggregation and Candidate Target Identification: Aggregates signals from high-throughput screening data to support identification and prioritization of candidate targets.
- Comprehensive Reporting: Produces detailed analytical outputs and visualizations of screening results.
Scientific Applications:
- Functional Genomics Studies: Analyzes CRISPR/Cas9 and shRNA pooled screens for gene function discovery.
- Gene Knockdown Experiments: Supports analysis of shRNA-mediated gene knockdown experiments to assess effects on cassette abundance.
- Genome-wide Screens: Processes genome-wide CRISPR/Cas9 and shRNA screens to identify genetic elements influencing experimental phenotypes.
- Target and Pathway Identification: Facilitates identification of genetic targets and pathways involved in biological processes and diseases.
Methodology:
Built on Bioconductor principles and implemented in the R statistical programming language for rigorous statistical analysis and reproducibility.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.