mageckCount Specifications
Process Details
- Name:
mageckCount - Process UUID:
6pKk7iyrPDDUR0RBfSOGujZUns22Gi - Process Group:
Crispr
Overview
The mageckCount process performs read counting for CRISPR screening data using the MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout) toolkit. This process counts sgRNA reads from FASTQ sequencing files against a provided library, generating count tables and quality control reports essential for downstream CRISPR screen analysis.
This process is implemented in Bash, which invokes R scripts for report generation and data visualization.
Key Functionality
- Read Counting: Counts sgRNA reads from FASTQ files using the MAGeCK count algorithm
- Quality Control: Generates comprehensive PDF and HTML reports with read distribution statistics and quality metrics
- Sample Labeling: Processes multiple samples with user-defined labels for downstream comparison
- Report Generation: Creates interactive HTML reports using R Markdown with statistical summaries and visualizations
Input/Output Specification
Inputs
Required Inputs
-
txtFile (Library File)
- Description: sgRNA library file containing guide sequences and target gene annotations
- Format: TXT
-
text (Sample Labels)
- Description: Comma-separated sample labels for identifying treatment conditions
- Format: Text
-
text (Count Prefix)
- Description: Output file prefix for naming result files
- Format: Text
-
reads
- Description: FASTQ sequencing files containing sgRNA reads from CRISPR screen
- Format: FASTQ
Outputs
-
txtFile (Count Table)
- Description: Tab-delimited count matrix with sgRNA counts across samples
- Format: TXT
-
outputHTML
- Description: Interactive HTML report with quality control metrics and visualizations
- Format: HTML
-
txtFile (Summary Statistics)
- Description: Summary statistics file with read mapping and quality metrics
- Format: TXT
Parameters & Settings
This process runs conditionally when the run_mageckCount parameter is set to "yes" in the pipeline configuration.
References & Resources
- Tool Documentation: Contact the team for details on MAGeCK count module implementation
- Related Papers: Li, W., Xu, H., Xiao, T. et al. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol 15, 554 (2014). https://doi.org/10.1186/s13059-014-0554-4