Michael Towsey

Summary

Affiliation: Queensland University of Technology
Country: Australia

Publications

  1. ncbi The prediction of bacterial transcription start sites using SVMs
    Michael W Towsey
    Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia
    Int J Neural Syst 16:363-70. 2006
  2. ncbi The in silico prediction of promoters in bacterial genomes
    Michael Towsey
    Institute for Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
    Genome Inform 19:178-89. 2007
  3. ncbi The cross-species prediction of bacterial promoters using a support vector machine
    Michael Towsey
    School of Life Sciences, Faculty of Science, Queensland University of Queensland, Brisbane, Queensland, Australia
    Comput Biol Chem 32:359-66. 2008

Collaborators

Detail Information

Publications3

  1. ncbi The prediction of bacterial transcription start sites using SVMs
    Michael W Towsey
    Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia
    Int J Neural Syst 16:363-70. 2006
    ..We also describe a more broadly applicable peak scoring technique which reduces the number of false positive predictions, greatly enhancing the utility of our results...
  2. ncbi The in silico prediction of promoters in bacterial genomes
    Michael Towsey
    Institute for Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
    Genome Inform 19:178-89. 2007
    ..We also demonstrate for the first time, that sigma-54 promoters have a stronger association with SIDD than do other promoter types...
  3. ncbi The cross-species prediction of bacterial promoters using a support vector machine
    Michael Towsey
    School of Life Sciences, Faculty of Science, Queensland University of Queensland, Brisbane, Queensland, Australia
    Comput Biol Chem 32:359-66. 2008
    ..We found a strong -35 hexamer and TGN/-10 associated with a set of early expressed genes. Our analysis highlights the advantage of using TSS-PREDICT as a starting point for predicting promoters in species where few are known...