Machine learning-ready scoring framework for programmable genome editors, integrating efficiency, specificity, edit outcome and safety features into a single PEN‑SCORE to guide experimental design and benchmarking.

Automated experimental workflow for carrying out the characterisation of recombinase-based parts and circuits.

ML classifier for genome-editing enzymes, assigning nuclease/recombinase/transposase classes that predicts mechanism class and flags IS110-family composite recombinases overlooked by existing tools.