Mario Andrea Marchisio

Summary

Affiliation: Swiss Federal Institute of Technology
Country: Switzerland

Publications

  1. pmc Modular, rule-based modeling for the design of eukaryotic synthetic gene circuits
    Mario Andrea Marchisio
    ETH Zürich and Swiss Institute of Bioinformatics, D BSSE, Mattenstrasse 26, Basel 4058, Switzerland
    BMC Syst Biol 7:42. 2013
  2. ncbi Computational design of synthetic gene circuits with composable parts
    M A Marchisio
    Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, 8092 Zurich, Switzerland
    Bioinformatics 24:1903-10. 2008
  3. ncbi Computational design tools for synthetic biology
    Mario A Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland
    Curr Opin Biotechnol 20:479-85. 2009
  4. doi Synthetic biosensing systems
    Mario Andrea Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
    Int J Biochem Cell Biol 43:310-9. 2011
  5. doi In silico implementation of synthetic gene networks
    Mario Andrea Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
    Methods Mol Biol 813:3-21. 2012

Detail Information

Publications5

  1. pmc Modular, rule-based modeling for the design of eukaryotic synthetic gene circuits
    Mario Andrea Marchisio
    ETH Zürich and Swiss Institute of Bioinformatics, D BSSE, Mattenstrasse 26, Basel 4058, Switzerland
    BMC Syst Biol 7:42. 2013
    ..In contrast, the Model Description Language (MDL) adopted by the modeling tool ProMoT is highly modular and it enables a faithful representation of biological parts and pools...
  2. ncbi Computational design of synthetic gene circuits with composable parts
    M A Marchisio
    Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, 8092 Zurich, Switzerland
    Bioinformatics 24:1903-10. 2008
    ..Corresponding concepts and computational tools for easy circuit design in biology are missing...
  3. ncbi Computational design tools for synthetic biology
    Mario A Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland
    Curr Opin Biotechnol 20:479-85. 2009
    ..The biggest challenge, however, is the integration of tools and methods into powerful and intuitively usable workflows-and the field is only starting to address it...
  4. doi Synthetic biosensing systems
    Mario Andrea Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
    Int J Biochem Cell Biol 43:310-9. 2011
    ..Nevertheless, rapid improvements on the available DNA-recombinant technology are essential to achieve, within few years, a full engineering of cell transduction pathways...
  5. doi In silico implementation of synthetic gene networks
    Mario Andrea Marchisio
    Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
    Methods Mol Biol 813:3-21. 2012
    ..Moreover, advances in automation of DNA assembly indicate that synthetic biology software soon will drive the wet-lab implementation of DNA sequences...