Genome annotation typically requires costly experimental assays across diverse cell types, limiting its scalability. Here, authors introduce BioSeq2Seq, a deep learning framework that leverages DNA sequence and run-on sequencing (RO-seq) data to accurately predict histone modifications, functional elements, gene expression, and transcription factor binding sites.
- Zhaoxi Zhang
- Xiaoya Fan
- Zhong Wang