Beifang Lu

This study uses ChIP-seq to analyze transcription factor binding sites in Pseudomonas aeruginosa, revealing regulatory networks, master virulence regulators, and a database for TF-binding sites.

The paper evaluates RNA modification detection in E. coli using nanopore RNA004 technology, introduces nanoSundial for improved detection, and identifies 190 modified CDS regions.

This study maps pseudouridine modifications across bacterial species, revealing dynamic patterns and evolutionary conservation, and develops a deep learning framework for predicting modified sites.

The paper maps the transcriptional regulatory network of Pseudomonas syringae, identifying hierarchical TF organization and functional roles in virulence and metabolism.

This study profiles the DNA methylome of Pseudomonas syringae and shows its role in regulating virulence and metabolism through 6mA methylation.