← Mingqian Ma

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design

Mingqian Ma (first & core author), Yucheng Wu, Xin Chen, Feifei Jiang, Peijun Lin, Dongxin Ye, Yidi Sun, Yijing Zhang, Tianqiong Shi, Yu Zhao, Wanli Ouyang, Bowen Zhou, Lei Bai, Yuchen Ren

Technical Report, 2026

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design figure

CENO is a family of long-context generative genomic world models that uses one autoregressive backbone to understand long DNA, score mutation effects with evolutionary context, and design regulatory sequences. Its staged curriculum reaches one-million-token whole-genome context, while evolutionary post-training and reinforcement-learning-guided design connect sequence interpretation with programmable biological function.