IndeLLM enables rapid indel pathogenicity predictions

Work jointly led by Oriol and Vilde in the lab, IndeLLM is a novel, plug‑and‑play tool using protein language models for predicting the pathogenicity of in‑frame insertions and deletions (indels). Without requiring fine‑tuning, it outperforms existing methods. Check out our user‑friendly Google Colab notebook!

Read the preprint on bioRxiv.