Sequence Representations and Their Utility for Predicting Protein-Protein Interactions. - Kimothi, Dhananjay; Biyani, Pravesh; Hogan, James M.; Davis, Melissa J. (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Collaborative Sense-Making in Genomic Research: The Role of Visualisation. - Rittenbruch, Markus; Vella, Kellie; Brereton, Margot; Hogan, James M.; Johnson, Daniel; Heinrich, Julian; O'Donoghue, Seán I. (IEEE Trans. Vis. Comput. Graph., 2022)

Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. - Pilz, Sarah; Porrmann, Florian; Kaiser, Martin; Hagemeyer, Jens; Hogan, James M.; Rückert, Ulrich (Algorithms, 2020)

Alignment-free inference of hierarchical and reticulate phylogenomic relationships. - Bernard, Guillaume; Chan, Cheong Xin; Chan, Yao-ban; Chua, Xin-Yi; Cong, Yingnan; Hogan, James M.; Maetschke, Stefan R.; Ragan, Mark A. (Briefings Bioinform., 2019)

Rapid analysis of metagenomic data using signature-based clustering. - Chappell, Timothy; Geva, Shlomo; Hogan, James M.; Huygens, Flavia; Rathnayake, Irani U.; Rudd, Stephen; Kelly, Wayne; Perrin, Dimitri (BMC Bioinform., 2018)

Rapid hierarchical clustering of biological sequences. - Chappell, Timothy; Geva, Shlomo; Hogan, James M.; Perrin, Dimitri (2018)

Protein database search using compressed k-mer vocabularies. - Buckingham, Lawrence; Geva, Shlomo; Hogan, James M. (2018)

K-Means Clustering of Biological Sequences. - Chappell, Timothy; Geva, Shlomo; Hogan, James M. (2017)

Signature-based clustering for analysis of the wound microbiome. - Chappell, Timothy; Geva, Shlomo; Hogan, James M.; Huygens, Flavia; Kelly, Wayne; Perrin, Dimitri (2017)

Similarity Projection: A Geometric Measure for Comparison of Biological Sequences. - Buckingham, Lawrence; Chappell, Timothy; Hogan, James M.; Geva, Shlomo (2017)

Iterative Design and Evaluation of Regulatory Network Visualisation at Scale. - Smith, Samuel Thomas; Hogan, James Michael; Chua, Xin-Yi; Brereton, Margot; Johnson, Daniel M.; Rittenbruch, Markus (2017)

Metric learning on biological sequence embeddings. - Kimothi, Dhananjay; Shukla, Ankita; Biyani, Pravesh; Anand, Saket; Hogan, James M. (2017)

Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure. - Heinrich, Julian; Vuong, Jenny; Hammang, Christopher J.; Wu, A.; Rittenbruch, Markus; Hogan, James M.; Brereton, Margot; O'Donoghue, Seán I. (Comput. Graph. Forum, 2016)

Can Videogame Players Inform Better Scientific Visualization'. - Hutson, Holly; Johnson, Daniel M.; Chua, Xin-Yi; Hogan, James M.; Brereton, Margot; Rittenbruch, Markus; Baldi, Benedetta Frida; O'Donoghue, Seán I. (2016)

Using videogames to improve molecular graphics tools. - Fitz-Walter, Zachary; O'Donoghue, Seán I.; Baldi, Benedetta Frida; Hogan, James M.; Johnson, Daniel M.; Brereton, Margot (2016)

Distributed Representations for Biological Sequence Analysis. - Kimothi, Dhananjay; Soni, Akshay; Biyani, Pravesh; Hogan, James M. (CoRR, 2016)

Large Scale Comparative Visualisation of Regulatory Networks with TRNDiff. - Chua, Xin-Yi; Buckingham, Lawrence; Hogan, James M.; Novichkov, Pavel S. (2015)

Planting Bugs: A System for Testing Students' Unit Tests. - Brian, Samuel A.; Thomas, Richard N.; Hogan, James M.; Fidge, Colin J. (2015)

Visual Analytics for Large-Scale Bioinformatic Data Sets. - Smith, Samuel Thomas; Hogan, James M.; Rittenbruch, Markus; Johnson, Daniel M.; Brereton, Margot (2015)

Locality-Sensitive Hashing for Protein Classification. - Buckingham, Lawrence; Hogan, James M.; Geva, Shlomo; Kelly, Wayne (2014)

Computational Science for Undergraduate Biologists via QUT.Bio.Excel. - Buckingham, Lawrence; Hogan, James M. (2014)

Large Scale Read Classification forNext Generation Sequencing. - Hogan, James M.; Peut, Timothy (2014)

Predicting Fault-Prone Software Modules with Rank Sum Classification. - Cahill, Jaspar; Hogan, James M.; Thomas, Richard N. (2013)

Consensus Sigma-70 Promoter Prediction Using Hadoop. - Hogan, James M.; Kelly, Wayne; Newell, Felicity (2013)

Recruitment Learning - Diederich, Joachim; Günay, Cengiz; Hogan, James M. (Springer, 2011)

Biomashups: the new world of exploratory bioinformatics? - Hogan, James M.; Sumitomo, Jiro; Roe, Paul; Newell, Felicity (Concurr. Comput. Pract. Exp., 2011)

The cross-species prediction of bacterial promoters using a support vector machine. - Towsey, Michael W.; Timms, Peter; Hogan, James M.; Mathews, Sarah A. (Comput. Biol. Chem., 2008)

Comparative Studies Made Simple in GPFlow. - Buckingham, Lawrence; Hogan, James M.; Roe, Paul; Sumitomo, Jiro; Towsey, Michael W. (2008)

BioMashups: The New World of Exploratory Bioinformatics? - Sumitomo, Jiro; Hogan, James M.; Newell, Felicity; Roe, Paul (2008)

Comparative Studies Simplified in GPFlow. - Buckingham, Lawrence; Hogan, James M.; Roe, Paul; Sumitomo, Jiro; Towsey, Michael W. (2008)

Improved prediction of bacterial transcription start sites. - Gordon, James J.; Towsey, Michael W.; Hogan, James M.; Mathews, Sarah A.; Timms, Peter (Bioinform., 2006)

The Prediction of Bacterial Transcription Start Sites Using Svms. - Towsey, Michael W.; Gordon, James J.; Hogan, James M. (Int. J. Neural Syst., 2006)

Developing the Software Engineering Team. - Hogan, James M.; Thomas, Richard N. (2005)

Tight Spirals and Industry Clients: The Modern SE Education Experience. - Hogan, James M.; Smith, Glenn; Thomas, Richard N. (2005)

Quality Assurance in a Student-Based Agile Software Engineering Process. - Marrington, Andrew; Hogan, James M.; Thomas, Richard N. (2005)

Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings (Springer, 2005)

Key Challenges in Software Internationalisation. - Hogan, James M.; Ho-Stuart, Chris; Pham, Bihn (2004)

Developing and Delivering a Software Internationalisation Subject. - Sahama, Tony R.; Ho-Stuart, Chris; Hogan, James M. (2004)

ACSW Frontiers 2004, 2004 ACSW Workshops - the Australasian Information Security Workshop (AISW2004), the Australasian Workshop on Data Mining and Web Intelligence (DMWI2004), and the Australasian Workshop on Software Internationalisation (AWSI2004) . Dunedin, New Zealand, January 2004 (Australian Computer Society, 2004)

Recruitment learning in randomly connected neural networks. - Hogan, James M. (dissertation.de, 2002)

Advanced mean field methods: theory and practice: M. Opper and D. Saad (Eds.); MIT Press, Cambridge, MA, 2001, 300pp. ISBN 0-262-15054-9. - Hogan, James M. (Neurocomputing, 2002)

The Real World Software Process. - Hogan, James M.; Smith, Glenn; Thomas, Richard N. (2002)

The Java Metrics Reporter- An Extensible Tool for 00 Software Analysis. - Cahill, Jaspar; Hogan, James M.; Thomas, Richard N. (2002)

Recruitment Learning Of Boolean Functions In Sparse Random Networks. - Hogan, James M.; Diederich, Joachim (Int. J. Neural Syst., 2001)

Selective Attention and the Acquisition of Spatial Semantics. - Hogan, James M.; Diederich, Joachim; Finn, Gerard D. (1998)

Australian Approaches to Internet Content Regulation. - Hogan, James M.; James, Peter C. J. (Aust. Comput. J., 1997)

A chosen plaintext attack on an adaptive arithmetic coding compression algorithm. - Bergen, Helen A.; Hogan, James M. (Comput. Secur., 1993)

Data security in a fixed-model arithmetic coding compression algorithm. - Bergen, Helen A.; Hogan, James M. (Comput. Secur., 1992)