Michael Towsey

Summary

Affiliation: Queensland University of Technology

Country: Australia

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
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
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

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...
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...
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...