bio-crispr-screens-prime-editing-screens

bio-crispr-screens-prime-editing-screens is a Bioinformatics & life sciences skill for AI agents, published by GPTomics in the bioSkills repository on GitHub. Skillspace rates bio-crispr-screens-prime-editing-screens C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Designs and analyzes pooled prime-editor (PE) screens for installing precise genetic variants without bystander confounding. Covers pegRNA design with PRIDICT and PRIDICT2 for predicting per-pegRNA editing efficiency, pegRNA architecture (spacer + scaffold + PBS + RTT), PE2/PE3/PE3b/PEmax/PEAR variants, MOSAIC in situ saturation mutagenesis, the PRIME pooled-screen methodology (Erwood/Doman 2023; ~3,699 ClinVar variant screens), chromatin context as a primary determinant of PE efficiency, scaffold-incorporation and indel byproduct quantification with CRISPResso2, and the cross-modal validation strategy of PE + base-editor screens for variant function. Use when designing a pegRNA library for variant installation, choosing between BE and PE for a specific edit, predicting pegRNA efficiency before library synthesis, analyzing PE screen output, distinguishing intended-edit from scaffold-incorporation, or scaling PE screens to thousands of variants.

Grade

C

Quality

79 / 100

Safety

Passed

GitHub stars

1,025

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