0000000000702326

AUTHOR

Ivars Mozga

0000-0002-3357-0590

showing 2 related works from this author

Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network.

2017

Selecting an efficient small set of adjustable parameters to improve metabolic features of an organism is important for a reduction of implementation costs and risks of unpredicted side effects. In practice, to avoid the analysis of a huge combinatorial space for the possible sets of adjustable parameters, experience-, and intuition-based subsets of parameters are often chosen, possibly leaving some interesting counter-intuitive combinations of parameters unrevealed. The combinatorial scan of possible adjustable parameter combinations at the model optimization level is possible; however, the number of analyzed combinations is still limited. The total optimization potential (TOP) approach is…

0301 basic medicineMathematical optimizationLinear programmingApplied Mathematics0206 medical engineeringComputational Biology02 engineering and technologySaccharomyces cerevisiaeModels BiologicalSmall setBiochemical networkEnzymes03 medical and health sciences030104 developmental biologyFermentationGeneticsComputer SimulationMETABOLIC FEATURESGlycolysis020602 bioinformaticsMetabolic Networks and PathwaysBiotechnologyMathematicsIntuitionIEEE/ACM transactions on computational biology and bioinformatics
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Integrative Gene Expression and Metabolic Analysis Tool IgemRNA

2022

ABSTRACTGenome scale metabolic modelling is widely used technique to research metabolism impacts on organism’s properties. Additional omics data integration enables a more precise genotype-phenotype analysis for biotechnology, medicine and life sciences. Transcriptome data amounts rapidly increase each year. Many transcriptome analysis tools with integrated genome scale metabolic modelling are proposed. But these tools have own restrictions, compatibility issues and the necessity of previous experience and advanced user skills. We have analysed and classified published tools, summarized possible transcriptome pre-processing, and analysis methods and implemented them in the new transcriptome…

business.industryComputer scienceProcess (engineering)Metabolic networkData validationComputational biologyBiochemistryToolboxTranscriptomeSoftwaregenome-scale metabolic modeling; transcriptomics; software engineering; Cobra Toolbox 3.0; MATLAB; flux balance analysis; flux variability analysis; omics data analysisbusinessFlux (metabolism)Molecular BiologyGraphical user interfaceBiomolecules; Volume 12; Issue 4; Pages: 586
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