Pipeline and insulated dual-reporter system to predict and quantify strong terminators from RNA-seq datasets for metabolic engineering

Limited research on transcription termination and a few terminators hinder the efficient construction of microbial cell factories (MCFs). This study develops a pipeline to predict strong genome-wide terminators using RNA-seq data and an insulated dual-reporter system (IDRS) for quantification, offering integrated tools for precise transcription regulation in MCFs.