Provides regulatory interactions in cyanobacteria. RegCyanoDB contains 20,280 interactions with confidence levels for 30 cyanobacterial strains. It provides the computationally predicted regulatory interactions in cyanobacteria, mapped from the most well-studied organism, E. coli. The database permits to give a better idea for using the interactions in experimental or computational applications.
IITB-Monash Research Academy, Indian Institute of Technology Bombay, Mumbai, India; Faculty of Information Technology, Monash University, Melbourne, VC, Australia; Chemical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India; Faculty of Science and Technology, Federation University, VC, Australia; School of Computing and Information Systems, The University of Melbourne, VC, Australia