tWhEEL: a transcript-aware workflow for quantifying CRISPR knockout feasibility using transcriptome assembly

tWhEEL computes a knockout feasibility index (KFI) from transcript-derived redundancy and CRISPR-Cas9 guide designs, enabling function-level targetability comparisons across organisms.

• Why it matters: Gene redundancy can make loss-of-function experiments hard to interpret, and its variation affects which genome-editing targets are tractable for reverse-genetic studies.
• What they did: The pipeline infers redundancy in silico from transcript information, cross-references it with guide RNA designs, and integrates GO and pathway annotations to produce KFI for genes and functional categories.
• The result: In a zebrafish Fanconi anemia case study, tWhEEL recovered 14 of 19 published target-site designs, supporting sequence-to-function planning for selecting organisms and biological functions.

AI summary of the abstract · may contain errors · not medical advice · read the paper.