The group has expertise in silico genotype - phenotype organism relationship analysis and design, metabolic and signalling (stoichiometric or genome scale) and even kinetic modelling.
Stoichiometric modelling is in silico approach, which allows to predict plants or crops biotechnological potential, predict gene deletion impacts, analyse phenotype essentiality, genes synthetic lethality and generate biotechnological application designs. Group also have developed knowledge about plant in silico modelling with Arabidopsis thaliana (SmartPlant), Tomato (FRIM), Blueberry and red microalgae Galdieria sulphuraria (UpWaste) and Crypthecodinium chonii.
Group is willing to join consortium where can contribute by plant or crop in silico modelling expertise
Contact person : Agris.Pentjuss@gmail.com
The Large Data Computational Biology group (UL) has long expertise for several decades in microorganisms, plants, physiology, strain design, metabolic, signalling, metabolic (stoichiometric or genome scale) and even kinetic modelling. Our group has long experience from 2014 modelling microorganism’s biotechnological potential (ethanologenic bacteria, Zymomonas mobilis, alternative yeast Kluyveromices marxianus, budding yeast Saccharomyces cerevisiae, E. coli and others). Another group of interest is in plant and algae physiology, metabolic and signalling modelling. We have experience in Arabidopsis thaliana, red algae, Galdieria Sulphuraria, and dinoflagellate microalgae Crypthecodinium cohnii. The latest local project is about blueberry modelling of anthocyanins production. Our group newest t direction also black soldier fly larvae metabolic modelling for improved lipid production.
Group is interested to join existing or new consortium and offer expertise in plant and crop metabolic modelling.