bio-crispr-screens-jacks-analysis
Installation
SKILL.md
Version Compatibility
Reference examples tested with: MAGeCK 0.5+, matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scipy 1.12+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures - CLI:
<tool> --versionthen<tool> --helpto confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
JACKS CRISPR Screen Analysis
"Analyze multiple CRISPR screens jointly with JACKS" → Model sgRNA efficacy and gene essentiality simultaneously across multiple screens, accounting for variable guide efficiency.
- Python:
jacks.infer_JACKS()for joint analysis across experiments
JACKS jointly models sgRNA efficacy and gene essentiality across multiple experiments. It infers both gene-level fitness effects and sgRNA-specific efficiency.