Tina Toni

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. pmc Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
    Tina Toni
    Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London SW7 2AZ, UK
    J R Soc Interface 6:187-202. 2009
  2. pmc From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli
    Tina Toni
    Division of Molecular Biosciences, Imperial College London, South Kensington, London SW7 2AZ, UK
    BMC Syst Biol 5:69. 2011
  3. pmc Simulation-based model selection for dynamical systems in systems and population biology
    Tina Toni
    Division of Molecular Biosciences, Imperial College London, Wolfson Building, SW72AZ London, UK
    Bioinformatics 26:104-10. 2010
  4. doi request reprint Managing membrane stress: the phage shock protein (Psp) response, from molecular mechanisms to physiology
    Nicolas Joly
    Division of Biology, Imperial College London, South Kensington, London, UK
    FEMS Microbiol Rev 34:797-827. 2010
  5. doi request reprint Model-based evolutionary analysis: the natural history of phage-shock stress response
    Maxime Huvet
    Division of Molecular Biosciences, Imperial College London, Centre for Bioinformatics, South Kensington, London SW7 2AZ, UK
    Biochem Soc Trans 37:762-7. 2009
  6. doi request reprint Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
    Tina Toni
    Centre for Integrative Systems Biology and Bioinformatics, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, London, UK
    Mol Biosyst 8:1921-9. 2012
  7. pmc ABC-SysBio--approximate Bayesian computation in Python with GPU support
    Juliane Liepe
    Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London, UK
    Bioinformatics 26:1797-9. 2010
  8. doi request reprint The ABC of reverse engineering biological signalling systems
    Maria Secrier
    Centre for Bioinformatics, Imperial College London, UK
    Mol Biosyst 5:1925-35. 2009
  9. doi request reprint Parameter inference and model selection in signaling pathway models
    Tina Toni
    Division of Molecular Biosciences, Centre for Bioinformatics, Imperial College London, London, UK
    Methods Mol Biol 673:283-95. 2010
  10. pmc Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes
    Daniel Silk
    Centre for Bioinformatics, Imperial College London, London SW7 2AZ, UK
    Nat Commun 2:489. 2011

Collaborators

Detail Information

Publications10

  1. pmc Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
    Tina Toni
    Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London SW7 2AZ, UK
    J R Soc Interface 6:187-202. 2009
    ..Moreover, we develop ABC SMC as a tool for model selection; given a range of different mathematical descriptions, ABC SMC is able to choose the best model using the standard Bayesian model selection apparatus...
  2. pmc From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli
    Tina Toni
    Division of Molecular Biosciences, Imperial College London, South Kensington, London SW7 2AZ, UK
    BMC Syst Biol 5:69. 2011
    ..This system has not yet been theoretically modelled or analysed in silico...
  3. pmc Simulation-based model selection for dynamical systems in systems and population biology
    Tina Toni
    Division of Molecular Biosciences, Imperial College London, Wolfson Building, SW72AZ London, UK
    Bioinformatics 26:104-10. 2010
    ..This is particularly challenging in systems biology where only a small number of molecular species can be assayed at any given time and all measurements are subject to measurement uncertainty...
  4. doi request reprint Managing membrane stress: the phage shock protein (Psp) response, from molecular mechanisms to physiology
    Nicolas Joly
    Division of Biology, Imperial College London, South Kensington, London, UK
    FEMS Microbiol Rev 34:797-827. 2010
    ....
  5. doi request reprint Model-based evolutionary analysis: the natural history of phage-shock stress response
    Maxime Huvet
    Division of Molecular Biosciences, Imperial College London, Centre for Bioinformatics, South Kensington, London SW7 2AZ, UK
    Biochem Soc Trans 37:762-7. 2009
    ..We use the specific example of the phage-shock stress response, which has been well characterized in Escherichia coli, to elucidate patterns of gene sharing and sequence conservation across bacterial species...
  6. doi request reprint Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection
    Tina Toni
    Centre for Integrative Systems Biology and Bioinformatics, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, London, UK
    Mol Biosyst 8:1921-9. 2012
    ..The models with the highest inferred posterior probability are the two models employing distributive dephosphorylation, whereas we are unable to choose decisively between the processive and distributive phosphorylation mechanisms...
  7. pmc ABC-SysBio--approximate Bayesian computation in Python with GPU support
    Juliane Liepe
    Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London, UK
    Bioinformatics 26:1797-9. 2010
    ..A number of statistical approaches, both frequentist and Bayesian, have been proposed to answer these questions...
  8. doi request reprint The ABC of reverse engineering biological signalling systems
    Maria Secrier
    Centre for Bioinformatics, Imperial College London, UK
    Mol Biosyst 5:1925-35. 2009
    ..Our analysis also highlights the added benefit of using the distribution of parameters rather than point estimates of parameter values when considering the notion of sloppy models in systems biology...
  9. doi request reprint Parameter inference and model selection in signaling pathway models
    Tina Toni
    Division of Molecular Biosciences, Centre for Bioinformatics, Imperial College London, London, UK
    Methods Mol Biol 673:283-95. 2010
    ..Approximate Bayesian computation techniques are introduced and employed to explore different hypothesis about the JAK-STAT signaling pathway...
  10. pmc Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes
    Daniel Silk
    Centre for Bioinformatics, Imperial College London, London SW7 2AZ, UK
    Nat Commun 2:489. 2011
    ..This change in perspective from quantitative to qualitative dynamics, provides fundamental and new insights into the properties of dynamical systems...