Quentin R. V. Ferry

LOAM is a family of genomic language models trained on long-read soil metagenomes, showing competitive performance despite a small training corpus and highlighting the importance of model scale and training data composition.

This paper introduces a method to modulate CRISPR activity in response to RNA detection using engineered guide RNAs, demonstrating functionality in mammalian cells and zebrafish embryos.