Bioinformatics and Systems Biology Research Group

bioinformatics and systems biology team develops computational tools for metabolic model construction, simulation and optimization, and automatic retrieval of relevant information laying in the literature (text miming). an important topic deals with the development of evolutionary methods for strain optimization. other topics relate to database integration, gene expression and metabolomics data analysis and mining. the main applications include the identification of targets for metabolic engineering, aiming at the construction of improved cellular factories for the production of succinic, fumaric or amino acids, and the model-driven physiological characterization of pathogens (such as h. pylori or s. faecalis) and the identification for drug targets for unmet health concerns. main topics: * text mining: http://anote-project.org/ * mathematical and computational tools for large-scale microbial modelling * merlin - in silico metabolic engineering platform: https://merlin-sysbio.or