RECTA: Regulon Identification Based on Comparative Genomics and Transcriptomics Analysis.

ABSTRACT: Regulons, which serve as co-regulated gene groups contributing to the transcriptional regulation of microbial genomes, have the potential to aid in understanding of underlying regulatory mechanisms. In this study, we designed a novel computational pipeline, regulon identification based on comparative genomics and transcriptomics analysis (RECTA), for regulon prediction related to the gene regulatory network under certain conditions. To demonstrate the effectiveness of this tool, we implemented RECTA on Lactococcus lactis MG1363 data to elucidate acid-response regulons. A total of 51 regulons were identified, 14 of which have computational-verified significance. Among these 14 regulons, five of them were computationally predicted to be connected with acid stress response. Validated b

SUBMITTER: Chen X 

PROVIDER: S-EPMC6027394 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature