Existing computational tools for bacterial transcript 3' ends prediction primarily focus on predicting 3’ ends generated by Rho-independent terminators (RITs) in model species, leaving significant gaps in comprehensive prediction of transcript 3' ends in non-model species. To address these limitations, we developed BATTER (BActeria Transcript Three Prime End Recognizer), a comprehensive computational tool for bacterial transcript 3’ termini prediction. BATTER builds on the observation that conserved stem-loop structures are frequently associated with 3’ ends of primary transcripts generated by both RIT and RDT mechanisms across distantly related bacterial species. BATTER achieved good performance compared to existing tools.

This data repository includes the codes of BATTER (a computational tool for bacterial transcription termination analysis, BATTER-main.zip ), supplementary codes for performance evaluation (terminator-prediction-scripts-main.zip), dataset for model training (terminators.flanked.fa.gz), BATTER's prediction across diverse bacterial lineages (TES.bed.gz), and relevant statistics of the prediction (combined-statistics.txt).