Gathers network data (metabolic, regulatory, protein-protein interaction) for 10 representative pathogenic Salmonella strains. SalmoNet is an online database regrouping information on interactions from multiple layers of biological organization. This repository allows users to study pathogen Salmonella with details in a standardized and documented format. It can be applied by medical microbiologists and epidemiologists to understand the strain specific differences of Salmonella.
Quadram Institute Bioscience, Norwich Research Park, Norwich, UK; Earlham Institute, Norwich Research Park, Norwich, UK; Department of Genetics, Eotvos Lorand University, Budapest, Hungary; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary
SalmoNet funding source(s)
Supported by a fellowship in computational biology at the Earlham Institute (Norwich, UK) in partnership with the Quadram Institute (Norwich, UK), and strategically supported by the Biotechnological and Biosciences Research Council, UK grants (BB/J004529/1, BB/P016774/1 and BB/CSP17270/1).