Pangenome-Informed Language Models for Synthetic Genome Sequence Generation
Pengzhi Huang, François Charton, Jan-Niklas M. Schmelzle, Shelby S. Darnell, Pjotr Prins, Erik P. Garrison, G. Edward Suh
This paper introduces pangenome-informed language models for generating synthetic DNA sequences, showing improved efficiency and quality over classical methods.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 15, 2025Peer-reviewedBioinformatics