Publications

2012

S. Maetschke, M. Simonsen, J. Davis, M. Ragan Gene Ontology-driven inference of protein-protein interactions using inducers. Bioinformatics 2012, 28: 69-75.

2010

S. Maetschke, K. Kassahn, J. Dunn, S. Han, E. Curley, K. Stacey, M. Ragan A visual framework for sequence analysis using n-grams and spectral rearrangement. Bioinformatics, 26 (6): 737-744.

2009

	S. Maetschke, Z. Yuan Exploiting structural and topological information to improve prediction of RNA-protein binding sites. BMC Bioinformatics, 10:341
	S. Maetschke Computational protein localization prediction. VDM Verlag, ISBN:3639137418

2008

	I. Arieshanti, M. Bodén, S. Maetschke and F. A. Buske Enzyme Recognition: Detecting Sequence and Structure Homology via an Integrative Kernel. IEEE SSCI 2009 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
	S. Maetschke, M. Towsey and J. Hogan BioPatML - Pattern Sharing for the Genomic Sciences. Microsoft eScience Workshop, Dec 7-9, 2008, Indianapolis
	F. A. Buske, S. Maetschke and M. Bodén It’s about time: signal recognition in staged models of protein translocation. Pattern Recognition special issue on CMLS-2007 doi: http://dx.doi.org/10.1016/j.patcog.2008.09.020

2007

	S. Maetschke, M. Gallagher, M. Bodén A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. Computational Intelligence and Bioinformatics and Computational Biology (CIBCB). IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 367-372.
	J. Hawkins, D. Mahony, S. Maetschke, M. Wakabayashi, R. Teasdale, M. Bodén Identifying novel peroxisomal proteins. Proteins: Structure, Function, and Bioinformatics.
	J. Watson, S. Maetschke, J. Wiles An introduction to Dsweep, a lightweight tool for distributed parameter sweeps. Proceedings of the Seventh International Workshop on Information Processing in Cells and Tissues (IPCAT), Oxford 29-31 August 2007, 400-408.
	B. Grech, S. Maetschke, S. Mathews, P. Timms Genome wide analysis of chlamydiae for promoters that phylogenetically footprint. Research in Microbiology.
	S. Maetschke Topological models of transmembrane proteins for subcellular localization prediction. PhD thesis, School of Information Technology and Electrical Engineering, 2007.

2006

	L. Davis, J. Hawkins, S. Maetschke, M. Bodén Comparing SVM Sequence Kernels: A Subcellular Localization Theme. In Proc. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia. CRPIT, 73. Bodén, M. and Bailey, T. L., Eds., ACS. 39-47.
	S. Maetschke, M. Bodén, M. Gallagher Higher Order HMMs for Localization Prediction of Transmembrane Proteins. In Proc. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia. CRPIT, 73. Bodén, M. and Bailey, T. L., Eds., ACS. 49-53.
	S. Maetschke, M. Towsey and J. Hogan Bacterial Promoter Modeling and Prediction for E. Coli and B. Subtilis with Beagle. In Proc. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia. CRPIT, 73. Bodén, M. and Bailey, T. L., Eds., ACS. 9-13.

2005

	S. Maetschke, M. Towsey, M. Bodén BLOMAP: An encoding which improves signal peptide cleavage site prediction. Third Asia Pacific Bioinformatics Conference, Singapore, 141-150.
	M. Wakabajashi, J. Hawkins, S. Maetschke, M. Bodén Exploiting sequence dependencies in the prediction of peroxisomal proteins. Intelligent Data Engineering and Automated Learning (IDEAL 2005), Brisbane, 454-461.