Mikael Bodén has a PhD in Computer Science and statistical machine learning from the University of Exeter (UK) but has spent the last decade and a half in biological research environments, including the Institute for Molecular Bioscience/ARC Centre of Excellence in Bioinformatics and the School of Chemistry and Molecular Biosciences, where he is currently located. He is the director of UQ’s postgraduate program in bioinformatics. Mikael Bodén has supervised 6 postdocs from funding he received from both ARC and NHMRC; he has been the primary advisor for 9 PhD and 3 MPhil graduates. Mikael Bodén collaborates with researchers in neuroscience, developmental biology, protein engineering and bioeconomy to mention but a few, and contributes expertise in the processing, analysis and integration of biological data; this is exemplified by recent publications in Science, Nature Catalysis, Nature Communications, Cell Systems, Nucleic Acids Research and Bioinformatics.
Journal Article: Development of a Highly Selective NAD+‐Dependent Glyceraldehyde Dehydrogenase and its Application in Minimal Cell‐Free Enzyme Cascades
Teshima, Mariko, Sutiono, Samuel, Döring, Manuel, Beer, Barbara, Boden, Mikael, Schenk, Gerhard and Sieber, Volker (2023). Development of a Highly Selective NAD+‐Dependent Glyceraldehyde Dehydrogenase and its Application in Minimal Cell‐Free Enzyme Cascades. ChemSusChem. doi: 10.1002/cssc.202301132
Journal Article: Cytocipher determines significantly different populations of cells in single cell RNA-seq data
Balderson, Brad, Piper, Michael, Thor, Stefan and Boden, Mikael (2023). Cytocipher determines significantly different populations of cells in single cell RNA-seq data. Bioinformatics, 39 (7) btad435. doi: 10.1093/bioinformatics/btad435
Journal Article: Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity
Sun, Yuliangzi, Shim, Woo Jun, Shen, Sophie, Sinniah, Enakshi, Pham, Duy, Su, Zezhuo, Mizikovsky, Dalia, White, Melanie D., Ho, Joshua W. K., Nguyen, Quan, Bodén, Mikael and Palpant, Nathan J (2023). Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity. Nucleic Acids Research, 51 (11), e62-e62. doi: 10.1093/nar/gkad307
What drives the Anterior Expansion of the Central Nervous System?
(2023–2025) ARC Discovery Projects
(2023–2024) Simons Foundation Autism Research Initiative - Pilot Award
TRIAGE: A disease agnostic computational and modelling platform to accelerate variant classification
(2022–2026) NHMRC MRFF Genomics Health Futures Mission
Cell Type Definition from Single Cell RNA-seq
(2023) Doctor Philosophy
Machine learning models of epigenetic dynamics driving cell fate
(2023) Doctor Philosophy
Finding meaningful variation in biological data by deep learning
Doctor Philosophy
Ross, Connie M., Foley, Gabriel, Boden, Mikael and Gillam, Elizabeth M. J. (2022). Using the evolutionary history of proteins to engineer insertion-deletion mutants from robust, ancestral templates using Graphical Representation of Ancestral Sequence Predictions (GRASP). Enzyme engineering. (pp. 85-110) edited by Francesca Magnani, Chiara Marabelli and Francesca Paradisi. New York, NY, United States: Humana Press. doi: 10.1007/978-1-0716-1826-4_6
Computational tools for directed evolution: a comparison of prospective and retrospective strategies
Zaugg, Julian, Gumulya, Yosephine, Gillam, Elizabeth M. J. and Bodén, Mikael (2014). Computational tools for directed evolution: a comparison of prospective and retrospective strategies. Directed evolution library creation: methods and protocols. (pp. 315-333) edited by Elizabeth M. J. Gillam, Janine N. Copp and David F. Ackerley. New York, NY, United States: Humana Press. doi: 10.1007/978-1-4939-1053-3_21
Markovian bias of neural-based architectures with feedback connections
Tino, P., Hammer, B. and Boden, M. (2007). Markovian bias of neural-based architectures with feedback connections. Perspectives of Neural-Symbolic Integration. (pp. 95-133) edited by Hammer, B. and Hitzler, P.. Heidelberg, Germany: Springer-Verlag. doi: 10.1007/978-3-540-73954-8_5
Representation beyond finite states: Alternatives to pushdown automata
Wiles, J. H., Blair, A. D. and Boden, M. B. (2001). Representation beyond finite states: Alternatives to pushdown automata. A Field Guide to Dynamical Recurrent Networks. (pp. 129-142) edited by J.J. Kolen and S.C. Kremer. Piscataway, New Jersey, U.S.A.: IEEE.
Teshima, Mariko, Sutiono, Samuel, Döring, Manuel, Beer, Barbara, Boden, Mikael, Schenk, Gerhard and Sieber, Volker (2023). Development of a Highly Selective NAD+‐Dependent Glyceraldehyde Dehydrogenase and its Application in Minimal Cell‐Free Enzyme Cascades. ChemSusChem. doi: 10.1002/cssc.202301132
Cytocipher determines significantly different populations of cells in single cell RNA-seq data
Balderson, Brad, Piper, Michael, Thor, Stefan and Boden, Mikael (2023). Cytocipher determines significantly different populations of cells in single cell RNA-seq data. Bioinformatics, 39 (7) btad435. doi: 10.1093/bioinformatics/btad435
Sun, Yuliangzi, Shim, Woo Jun, Shen, Sophie, Sinniah, Enakshi, Pham, Duy, Su, Zezhuo, Mizikovsky, Dalia, White, Melanie D., Ho, Joshua W. K., Nguyen, Quan, Bodén, Mikael and Palpant, Nathan J (2023). Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity. Nucleic Acids Research, 51 (11), e62-e62. doi: 10.1093/nar/gkad307
Afonso, Juliana, Shim, Woo Jun, Boden, Mikael, Salinas Fortes, Marina Rufino, da Silva Diniz, Wellison Jarles, de Lima, Andressa Oliveira, Rocha, Marina Ibelli Pereira, Cardoso, Tainã Figueiredo, Bruscadin, Jennifer Jessica, Gromboni, Caio Fernando, Nogueira, Ana Rita Araujo, Mourão, Gerson Barreto, Zerlotini, Adhemar, Coutinho, Luiz Lehmann and de Almeida Regitano, Luciana Correia (2023). Repressive epigenetic mechanisms, such as the H3K27me3 histone modification, were predicted to affect muscle gene expression and its mineral content in Nelore cattle. Biochemistry and Biophysics Reports, 33 101420, 1-9. doi: 10.1016/j.bbrep.2023.101420
Bayaraa, Tenuun, Lonhienne, Thierry, Sutiono, Samuel, Melse, Okke, Brück, Thomas B., Marcellin, Esteban, Bernhardt, Paul V., Boden, Mikael, Harmer, Jeffrey R., Sieber, Volker, Guddat, Luke W. and Schenk, Gerhard (2023). Structural and functional insight into the mechanism of the Fe‐S cluster‐dependent dehydratase from Paralcaligenes ureilyticus. Chemistry: A European Journal, 29 (9) e202203140, 1-13. doi: 10.1002/chem.202203140
Foley, Gabriel, Mora, Ariane, Ross, Connie M., Bottoms, Scott, Sützl, Leander, Lamprecht, Marnie L., Zaugg, Julian, Essebier, Alexandra, Balderson, Brad, Newell, Rhys, Thomson, Raine E. S., Kobe, Bostjan, Barnard, Ross T., Guddat, Luke, Schenk, Gerhard, Carsten, Jörg, Gumulya, Yosephine, Rost, Burkhard, Haltrich, Dietmar, Sieber, Volker, Gillam, Elizabeth M. J. and Bodén, Mikael (2022). Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP). PL o S Computational Biology, 18 (10) e1010633, e1010633. doi: 10.1371/journal.pcbi.1010633
Lv, You, Zheng, Shan, Goldenzweig, Adi, Liu, Fengjiang, Gao, Yan, Yang, Xiuna, Kandale, Ajit, McGeary, Ross P., Williams, Simon, Kobe, Bostjan, Schembri, Mark A., Landsberg, Michael J., Wu, Bin, Brück, Thomas B., Sieber, Volker, Boden, Mikael, Rao, Zihe, Fleishman, Sarel J., Schenk, Gerhard and Guddat, Luke W. (2022). Enhancing the Thermal and Kinetic Stability of Ketol-Acid Reductoisomerase, a Central Catalyst of a Cell-Free Enzyme Cascade for the Manufacture of Platform Chemicals. Applied Biosciences, 1 (2), 163-178. doi: 10.3390/applbiosci1020011
Harris, Kurt L., Thomson, Raine E.S., Gumulya, Yosephine, Foley, Gabriel, Carrera-Pacheco, Saskya E., Syed, Parnayan, Janosik, Tomasz, Sandinge, Ann-Sofie, Andersson, Shalini, Jurva, Ulrik, Bodén, Mikael and Gillam, Elizabeth M.J. (2022). Ancestral sequence reconstruction of a cytochrome P450 family involved in chemical defense reveals the functional evolution of a promiscuous, xenobiotic-metabolizing enzyme in vertebrates. Molecular Biology and Evolution, 39 (6) msac116. doi: 10.1093/molbev/msac116
Yaghmaeian Salmani, Behzad, Balderson, Brad, Bauer, Susanne, Ekman, Helen, Starkenberg, Annika, Perlmann, Thomas, Piper, Michael, Bodén, Mikael and Thor, Stefan (2022). Selective requirement for polycomb repressor complex 2 in the generation of specific hypothalamic neuronal subtypes. Development, 149 (5) dev200076. doi: 10.1242/dev.200076
Mora, Ariane, Rakar, Jonathan, Cobeta, Ignacio Monedero, Salmani, Behzad Yaghmaeian, Starkenberg, Annika, Thor, Stefan and Bodén, Mikael (2022). Variational autoencoding of gene landscapes during mouse CNS development uncovers layered roles of Polycomb Repressor Complex 2. Nucleic Acids Research, 50 (3), 1280-1296. doi: 10.1093/nar/gkac006
Wilson, Liam A., Knaven, Esmée G., Morris, Marc T., Monteiro Pedroso, Marcelo, Schofield, Christopher J., Brück, Thomas, Boden, Mikael, Waite, David W., Hugenholtz, Philip, Guddat, Luke and Schenk, Gerhard (2021). Kinetic and structural characterization of the first B3 metallo-β-lactamase with an active site glutamic acid. Antimicrobial Agents and Chemotherapy, 65 (10) e00936-21, e0093621. doi: 10.1128/aac.00936-21
ChIP-R: Assembling reproducible sets of ChIP-seq and ATAC-seq peaks from multiple replicates
Newell, Rhys, Pienaar, Richard, Balderson, Brad, Piper, Michael, Essebier, Alexandra and Bodén, Mikael (2021). ChIP-R: Assembling reproducible sets of ChIP-seq and ATAC-seq peaks from multiple replicates. Genomics, 113 (4), 1855-1866. doi: 10.1016/j.ygeno.2021.04.026
Elp2 mutations perturb the epitranscriptome and lead to a complex neurodevelopmental phenotype
Kojic, Marija, Gawda, Tomasz, Gaik, Monika, Begg, Alexander, Salerno-Kochan, Anna, Kurniawan, Nyoman D., Jones, Alun, Drożdżyk, Katarzyna, Kościelniak, Anna, Chramiec-Głąbik, Andrzej, Hediyeh-Zadeh, Soroor, Kasherman, Maria, Shim, Woo Jun, Sinniah, Enakshi, Genovesi, Laura A., Abrahamsen, Rannvá K., Fenger, Christina D., Madsen, Camilla G., Cohen, Julie S., Fatemi, Ali, Stark, Zornitza, Lunke, Sebastian, Lee, Joy, Hansen, Jonas K., Boxill, Martin F., Keren, Boris, Marey, Isabelle, Saenz, Margarita S., Brown, Kathleen ... Wainwright, Brandon J. (2021). Elp2 mutations perturb the epitranscriptome and lead to a complex neurodevelopmental phenotype. Nature Communications, 12 (1) 2678, 2678. doi: 10.1038/s41467-021-22888-5
Conserved epigenetic regulatory logic infers genes governing cell identity
Shim, Woo Jun, Sinniah, Enakshi, Xu, Jun, Vitrinel, Burcu, Alexanian, Michael, Andreoletti, Gaia, Shen, Sophie, Sun, Yuliangzi, Balderson, Brad, Boix, Carles, Peng, Guangdun, Jing, Naihe, Wang, Yuliang, Kellis, Manolis, Tam, Patrick P L, Smith, Aaron, Piper, Michael, Christiaen, Lionel, Nguyen, Quan, Bodén, Mikael and Palpant, Nathan J. (2020). Conserved epigenetic regulatory logic infers genes governing cell identity. Cell Systems, 11 (6), 625-639.e13. doi: 10.1016/j.cels.2020.11.001
Evolutionary model of protein secondary structure capable of revealing new biological relationships
Lai, Jhih‐Siang, Rost, Burkhard, Kobe, Bostjan and Bodén, Mikael (2020). Evolutionary model of protein secondary structure capable of revealing new biological relationships. Proteins: Structure, Function, and Bioinformatics, 88 (9) prot.25898, 1251-1259. doi: 10.1002/prot.25898
T-Gene: improved target gene prediction
O’Connor, Timothy, Grant, Charles E, Bodén, Mikael and Bailey, Timothy L (2020). T-Gene: improved target gene prediction. Bioinformatics, 36 (12), 3902-3904. doi: 10.1093/bioinformatics/btaa227
Littmann, Maria, Goldberg, Tatyana, Seitz, Sebastian, Bodén, Mikael and Rost, Burkhard (2019). Correction to: Detailed prediction of protein sub-nuclear localization (BMC Bioinformatics (2019) 20 (205) DOI: 10.1186/s12859-019-2790-9). BMC Bioinformatics, 20 (1) 727, 727. doi: 10.1186/s12859-019-3305-4
Common Regulatory Targets of NFIA, NFIX and NFIB during Postnatal Cerebellar Development
Fraser, James, Essebier, Alexandra, Brown, Alexander S., Davila, Raul Ayala, Harkins, Danyon, Zalucki, Oressia, Shapiro, Lauren P., Penzes, Peter, Wainwright, Brandon J., Scott, Matthew P., Gronostajski, Richard M., Bodén, Mikael, Piper, Michael and Harvey, Tracey J. (2019). Common Regulatory Targets of NFIA, NFIX and NFIB during Postnatal Cerebellar Development. Cerebellum, 19 (1), 89-101. doi: 10.1007/s12311-019-01089-3
NAD+ cleavage activity by animal and plant TIR domains in cell death pathways
Horsefield, Shane, Burdett, Hayden, Zhang, Xiaoxiao, Manik, Mohammad K., Shi, Yun, Chen, Jian, Qi, Tiancong, Gilley, Jonathan, Lai, Jhih-Siang, Rank, Maxwell X., Casey, Lachlan W., Gu, Weixi, Ericsson, Daniel J., Foley, Gabriel, Hughes, Robert O., Bosanac, Todd, von Itzstein, Mark, Rathjen, John P., Nanson, Jeffrey D., Boden, Mikael, Dry, Ian B., Williams, Simon J., Staskawicz, Brian J., Coleman, Michael P., Ve, Thomas, Dodds, Peter N. and Kobe, Bostjan (2019). NAD+ cleavage activity by animal and plant TIR domains in cell death pathways. Science, 365 (6455), 793-799. doi: 10.1126/science.aax1911
Foley, Gabriel, Sützl, Leander, D'Cunha, Stephlina A., Gillam, Elizabeth M.J. and Bodén, Mikael (2019). SeqScrub: a web tool for automatic cleaning and annotation of FASTA file headers for bioinformatic applications. BioTechniques, 67 (2), 50-54. doi: 10.2144/btn-2018-0188
Sützl, Leander, Foley, Gabriel, Gillam, Elizabeth M J, Bodén, Mikael and Haltrich, Dietmar (2019). The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases. Biotechnology for Biofuels, 12 (1) 118, 118. doi: 10.1186/s13068-019-1457-0
Detailed prediction of protein sub-nuclear localization
Littmann, Maria, Goldberg, Tatyana, Seitz, Sebastian, Bodén, Mikael and Rost, Burkhard (2019). Detailed prediction of protein sub-nuclear localization. BMC Bioinformatics, 20 (1) 205. doi: 10.1186/s12859-019-2790-9
Gumulya, Yosephine, Huang, Weiliang, D'Cunha, Stephlina A., Richards, Katelyn E., Thomson, Raine E.S., Hunter, Dominic J.B., Baek, Jong-Min, Harris, Kurt L., Boden, Mikael, De Voss, James J., Hayes, Martin A., Isin, Emre M., Andersson, Shalini, Jurva, Ulrik and Gillam, Elizabeth (2019). Engineering thermostable CYP2D enzymes for biocatalysis using combinatorial libraries of ancestors for directed evolution (CLADE). ChemCatChem, 11 (2) cctc.201801644, 841-850. doi: 10.1002/cctc.201801644
Fraser, James, Essebier, Alexandra, Brown, Alexander S., Davila, Raul Ayala, Sengar, Ameet S., Tu, YuShan, Ensbey, Kathleen S., Day, Bryan W., Scott, Matthew P., Gronostajski, Richard M., Wainwright, Brandon J., Boden, Mikael, Harvey, Tracey J. and Piper, Michael (2018). Granule neuron precursor cell proliferation is regulated by NFIX and intersectin 1 during postnatal cerebellar development. Brain Structure and Function, 224 (2), 811-827. doi: 10.1007/s00429-018-1801-3
Engineering highly functional thermostable proteins using ancestral sequence reconstruction
Gumulya, Yosephin, Baek, Jong-Min, Wun, Shun-Jie, Thomson, Raine E. S., Harris, Kurt L., Hunter, Dominic J. B., Behrendorff, James B. Y. H., Kulig, Justyna, Zheng, Shan, Wu, Xueming, Wu, Bin, Stok, Jeanette E., De Voss, James J., Schenk, Gerhard, Jurva, Ulrik, Andersson, Shalini, Isin, Emre M., Bodén, Mikael, Guddat, Luke and Gillam, Elizabeth M. J. (2018). Engineering highly functional thermostable proteins using ancestral sequence reconstruction. Nature Catalysis, 1 (11), 878-888. doi: 10.1038/s41929-018-0159-5
SCRAM: a pipeline for fast index-free small RNA read alignment and visualization
Fletcher, Stephen J., Boden, Mikael, Mitter, Neena and Carroll, Bernard J. (2018). SCRAM: a pipeline for fast index-free small RNA read alignment and visualization. Bioinformatics, 34 (15), 2670-2672. doi: 10.1093/bioinformatics/bty161
Effect of Binding on Enantioselectivity of Epoxide Hydrolase
Zaugg, Julian, Gumulya, Yosephine, Bodén, Mikael, Mark, Alan E and Malde, Alpeshkumar K (2018). Effect of Binding on Enantioselectivity of Epoxide Hydrolase. Journal of Chemical Information and Modeling, 58 (3), 630-640. doi: 10.1021/acs.jcim.7b00353
Learning epistatic interactions from sequence-activity data to predict enantioselectivity
Zaugg, Julian, Gumulya, Yosephine, Malde, Alpeshkumar K and Bodén, Mikael (2017). Learning epistatic interactions from sequence-activity data to predict enantioselectivity. Journal of computer-aided molecular design, 31 (12), 1085-1096. doi: 10.1007/s10822-017-0090-x
NLSdb-major update for database of nuclear localization signals and nuclear export signals
Bernhofer, Michael, Goldberg, Tatyana, Wolf, Silvana, Ahmed, Mohamed, Zaugg, Julian, Boden, Mikael and Rost, Burkhard (2017). NLSdb-major update for database of nuclear localization signals and nuclear export signals. Nucleic Acids Research, 46 (D1), D503-D508. doi: 10.1093/nar/gkx1021
Bioinformatics approaches to predict target genes from transcription factor binding data
Essebier, Alexandra, Lamprecht, Marnie, Piper, Michael and Bodén, Mikael (2017). Bioinformatics approaches to predict target genes from transcription factor binding data. Methods (San Diego, Calif.), 131, 111-119. doi: 10.1016/j.ymeth.2017.09.001
PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation
Patrick, Ralph, Kobe, Bostjan, Lê Cao, Kim-Anh and Bodén, Mikael (2017). PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation. Bioinformatics, 33 (12), 1773-1781. doi: 10.1093/bioinformatics/btx072
Structure and function of the TIR domain from the grape NLR protein RPV1
Williams, Simon J., Yin, Ling, Foley, Gabriel, Casey, Lachlan W., Outram, Megan A., Ericsson, Daniel J., Lu, Jiang, Boden, Mikael, Dry, Ian B. and Kobe, Bostjan (2016). Structure and function of the TIR domain from the grape NLR protein RPV1. Frontiers in Plant Science, 7 (DECEMBER2016) 1850, 1850. doi: 10.3389/fpls.2016.01850
Patrick, Ralph, Horin, Coralie, Kobe, Bostjan, Cao, Kim-Anh Le and Bodén, Mikael (2016). Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence. Biochimica et Biophysica Acta, 1864 (11), 1599-1608. doi: 10.1016/j.bbapap.2016.08.001
CISMAPPER: predicting regulatory interactions from transcription factor ChIP-seq data
O'Connor, Timothy, Boden, Mikael and Bailey, Timothy L. (2016). CISMAPPER: predicting regulatory interactions from transcription factor ChIP-seq data. Nucleic Acids Research, 45 (4), e19. doi: 10.1093/nar/gkw956
Chang, Chiung-Wen, Counago, Rafael Miguez, Williams, Simon J., Boden, Mikael and Kobe, Bostjan (2016). Distinctive Conformation of Minor Site-Specific Nuclear Localization Signals Bound to Importin-alpha (vol 14, pg 1144, 2013). Traffic, 17 (6), 704-704. doi: 10.1111/tra.12395
Statistical enrichment of epigenetic states around triplet repeats that can undergo expansions
Essebier, Alexandra, Wolf, Patricia Vera, Cao, Minh Duc, Carroll, Bernard J., Balasubramanian, Sureshkumar and Boden, Mikael (2016). Statistical enrichment of epigenetic states around triplet repeats that can undergo expansions. Frontiers in Neuroscience, 10 (MAR) 92, 92.1-92.12. doi: 10.3389/fnins.2016.00092
Robust estimation of evolutionary distances with information theory
Cao, Minh Duc, Allison, Lloyd, Dix, Trevor I. and Boden, Mikael (2016). Robust estimation of evolutionary distances with information theory. Molecular Biology and Evolution, 33 (5), 1349-1357. doi: 10.1093/molbev/msw019
Huang, Weiliang, Johnston, Wayne A., Boden, Mikael and Gillam, Elizabeth M.J. (2016). ReX: A suite of computational tools for the design, visualization, and analysis of chimeric protein libraries. BioTechniques, 60 (2), 91-94. doi: 10.2144/000114381
Cell-type-specific expression of NFIX in the developing and adult cerebellum
Fraser, James, Essebier, Alexandra, Gronostajski, Richard M., Boden, Mikael, Wainwright, Brandon J., Harvey, Tracey J. and Piper, Michael (2016). Cell-type-specific expression of NFIX in the developing and adult cerebellum. Brain Structure and Function, 222 (5), 1-20. doi: 10.1007/s00429-016-1340-8
Sequencing technologies and tools for short tandem repeat variation detection
Cao, Minh Duc, Balasubramanian, Sureshkumar and Boden, Mikael (2015). Sequencing technologies and tools for short tandem repeat variation detection. Briefings in Bioinformatics, 16 (2) bbu001, 193-204. doi: 10.1093/bib/bbu001
Oyarzun, Patricio, Ellis, Jonathan J., Gonzalez-Galarza, Faviel F., Jones, Andrew R, Middleton, Derek, Boden, Mikael and Kobe, Bostjan (2015). A bioinformatics tool for epitope-based vaccine design that accounts for human ethnic diversity: Application to emerging infectious diseases.. Vaccine, 33 (10), 1267-1273. doi: 10.1016/j.vaccine.2015.01.040
Roona, Gergely, Borsos, Mate, Ellis, Jonathan J., Mehdi, Ahmed M., Christie, Mary, Koornyei, Zsuzsanna, Neubrandt, Mate, Tooth, Judit, Bozooky, Zoltan, Buday, Laszlo, Madaraasz, Emilia, Bodaen, Mikael, Kobe, Bostjan and Veertessy, Beata G. (2014). Dynamics of re-constitution of the human nuclear proteome after cell division is regulated by NLS-adjacent phosphorylation. Cell Cycle, 13 (22), 3551-3564. doi: 10.4161/15384101.2014.960740
PhosphoPICK: modelling cellular context to map kinase-substrate phosphorylation events
Patrick, Ralph, Lê Cao, Kim-Anh, Kobe, Bostjan and Bodén, Mikael (2014). PhosphoPICK: modelling cellular context to map kinase-substrate phosphorylation events. Bioinformatics, 31 (3), 382-389. doi: 10.1093/bioinformatics/btu663
Importin alpha and nonclassical nuclear localization signal
Chang, Chiung-Wen, Couñago, Rafael, Williams, Simon, Bodén, Mikael and Kobe, Boštjan (2014). Importin alpha and nonclassical nuclear localization signal. Acta Crystallographica Section A Foundations and Advances, 70 (a1), C1634-C1634. doi: 10.1107/s205327331408365x
Dimensionality reduction and topographic mapping of binary tensors
Mazgut, Jakub, Tino, Peter, Boden, Mikael and Yan, Hong (2014). Dimensionality reduction and topographic mapping of binary tensors. Pattern Analysis and Applications, 17 (3), 497-515. doi: 10.1007/s10044-013-0317-y
Predicting the dynamics of protein abundance
Mehdi, Ahmed M., Patrick, Ralph, Bailey, Timothy L. and Boden, Mikael (2014). Predicting the dynamics of protein abundance. Molecular and Cellular Proteomics, 13 (5), 1330-1340. doi: 10.1074/mcp.M113.033076
Inferring short tandem repeat variation from paired-end short reads
Cao, Minh Duc, Tasker, Edward, Willadsen, Kai, Imelfort, Michael, Vishwanathan, Sailaja, Sureshkumar, Sridevi, Balasubramanian, Sureshkumar and Bodén, Mikael (2014). Inferring short tandem repeat variation from paired-end short reads. Nucleic Acids Research, 42 (3), e16.1-e16.11. doi: 10.1093/nar/gkt1313
Distinctive conformation of minor site-specific nuclear localization signals bound to importin-α
Chang, Chiung-Wen, Counago, Rafael Miguez, Williams, Simon J., Boden, Mikael and Kobe, Bostjan (2013). Distinctive conformation of minor site-specific nuclear localization signals bound to importin-α. Traffic, 14 (11), 1144-1154. doi: 10.1111/tra.12098
Oyarzun, Patricio, Ellis, Jonathan J., Boden, Mikael and Kobe, Bostjan (2013). PREDIVAC: CD4+T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity. BMC Bioinformatics, 14 (1) 52, 52. doi: 10.1186/1471-2105-14-52
Repeat-encoded poly-Q tracts show statistical commonalities across species
Willadsen, Kai, Minh Duc Cao, Wiles, Janet, Balasubramanian, Sureshkumar and Boden, Mikael (2013). Repeat-encoded poly-Q tracts show statistical commonalities across species. Bmc Genomics, 14 (1) 76, 76.1-76.10. doi: 10.1186/1471-2164-14-76
DLocalMotif: a discriminative approach for discovering local motifs in protein sequences
Mehdi, Ahmed M., Sehgal, Muhammad Shoaib B., Kobe, Bostjan, Bailey, Timothy L. and Boden, Mikael (2013). DLocalMotif: a discriminative approach for discovering local motifs in protein sequences. Bioinformatics, 29 (1), 39-46. doi: 10.1093/bioinformatics/bts654
Chang, Chiung-Wen, Counago, Rafael Miguez, Williams, Simon J., Boden, Mikael and Kobe, Bostjan (2013). The distribution of different classes of nuclear localization signals (NLSs) in diverse organisms and the utilization of the minor NLS-binding site in plant nuclear import factor importin-α. Plant Signaling and Behavior, 8 (10), e25976.1-e25976.6. doi: 10.4161/psb.25976
Chang, Chiung-Wen, Counago, Rafael Lemos Miguez, Williams, Simon J., Boden, Mikael and Kobe, Bostjan (2012). Crystal structure of rice importin-alpha and structural basis of its interaction with plant-specific nuclear localization signals. Plant Cell, 24 (12), 5074-5088. doi: 10.1105/tpc.112.104422
NSort/DB: an intra-nuclear compartment protein database
Willadsen, Kai, Mohamad, Nurul and Boden, Mikael (2012). NSort/DB: an intra-nuclear compartment protein database. Genomics, Proteomics & Bioinformatics, 10 (4), 226-229. doi: 10.1016/j.gpb.2012.07.001
Computational modelling of linear motif-mediated protein interactions
Kobe, Bostjan and Boden, Mikael (2012). Computational modelling of linear motif-mediated protein interactions. Current Topics in Medicinal Chemistry, 12 (14), 1553-1561. doi: 10.2174/156802612802652439
Mapping the stabilome: a novel computational method for classifying metabolic protein stability
Patrick, Ralph, Cao, Kim-Anh L., Davis, Melissa, Kobe, Bostjan and Bodén, Mikael (2012). Mapping the stabilome: a novel computational method for classifying metabolic protein stability. BMC Systems Biology, 6 (1) 60, 60.1-60.15. doi: 10.1186/1752-0509-6-60
Matching cavities in G protein-coupled receptors to infer ligand-binding sites
Madala, Praveen K., Fairlie, David P. and Bodén, Mikael (2012). Matching cavities in G protein-coupled receptors to infer ligand-binding sites. Journal of Chemical Information and Modeling, 52 (5), 1401-1410. doi: 10.1021/ci2005498
Molecular basis for specificity of nuclear import and prediction of nuclear localization
Marfori, Mary, Mynott, Andrew, Ellis, Jonathan J., Mehdi, Ahmed M., Saunders, Neil F. W., Curmi, Paul M., Forwood, Jade K., Bodén, Mikael and Kobe, Bostjan (2011). Molecular basis for specificity of nuclear import and prediction of nuclear localization. Biochimica et Biophysica Acta (BBA): Molecular Cell Research, 1813 (9), 1562-1577. doi: 10.1016/j.bbamcr.2010.10.013
Bauer, Denis C., Willadsen, Kai, Buske, Fabian A., Lê Cao, Kim-Anh, Bailey, Timothy L., Dellaire, Graham and Bodén, Mikael (2011). Sorting the nuclear proteome. Bioinformatics, 27 (13) btr217, i7-i14. doi: 10.1093/bioinformatics/btr217
A probabilistic model of nuclear import of proteins
Mehdi, Ahmed M., Sehgal, Muhammad Shoaib B., Kobe, Bostjan, Bailey, Timothy L. and Boden, Mikael (2011). A probabilistic model of nuclear import of proteins. Bioinformatics, 27 (9) btr121, 1239-1246. doi: 10.1093/bioinformatics/btr121
Using Gaussian process with test rejection to detect T-Cell epitopes in pathogen genomes
You, Liwen, Brusic, Vladimir, Gallagher, Marcus and Boden, Mikael (2010). Using Gaussian process with test rejection to detect T-Cell epitopes in pathogen genomes. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 7 (4) 4695825, 741-751. doi: 10.1109/TCBB.2008.131
Predicting SUMOylation sites in developmental transcription factors of Drosophila melanogaster
Bauer, Denis C., Buske, Fabian A., Bailey, Timothy L. and Boden, Mikael (2010). Predicting SUMOylation sites in developmental transcription factors of Drosophila melanogaster. Neurocomputing, 73 (13-15), 2300-2307. doi: 10.1016/j.neucom.2010.01.022
The proteins of intra-nuclear bodies: A data-driven analysis of sequence, interaction and expression
Mohamad, Nurul and Bodén, Mikael (2010). The proteins of intra-nuclear bodies: A data-driven analysis of sequence, interaction and expression. BMC Systems Biology, 4 (44) 44, 1-12. doi: 10.1186/1752-0509-4-44
The value of position-specific priors in motif discovery using MEME
Bailey, Timothy L., Bodén, Mikael, Whitington, Tom and Machanick, Philip (2010). The value of position-specific priors in motif discovery using MEME. BMC Bioinformatics, 11 (179) 179, 1-14. doi: 10.1186/1471-2105-11-179
A bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodies
Boden, Mikael, Dellaire, Graham, Burrage, Kevin and Bailey, Timothy L. (2010). A bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodies. Journal of Computational Biology, 17 (4), 617-630. doi: 10.1089/cmb.2009.0140
Assigning roles to DNA regulatory motifs using comparative genomics
Buske, Fabian A., Boden, Mikael, Bauer, Denis C. and Bailey, Timothy L. (2010). Assigning roles to DNA regulatory motifs using comparative genomics. Bioinformatics, 26 (7) btq049, 860-866. doi: 10.1093/bioinformatics/btq049
In silico characterization of protein chimeras: Relating sequence and function within the same fold
Buske, Fabian A., Their, Ricarda, Gillam, Elizabeth M. J. and Boden, Mikael (2009). In silico characterization of protein chimeras: Relating sequence and function within the same fold. Proteins: Structure, Function, and Bioinformatics, 77 (1), 111-120. doi: 10.1002/prot.22422
It's about time: Signal recognition in staged models of protein translocation
Buske, Fabian A., Maetschke, Stefan and Boden, Mikael (2009). It's about time: Signal recognition in staged models of protein translocation. Pattern Recognition, 42 (4), 567-574. doi: 10.1016/j.patcog.2008.09.020
MEME suite: Tools for motif discovery and searching
Bailey, T. L., Boden, M. B., Buske, F. A., Frith, M., Grant, C. E., Clementi, L., Ren, J. Y., Li, W. W. and Noble, W. S. (2009). MEME suite: Tools for motif discovery and searching. Nucleic Acids Research, 37 (Suppl. 2), W202-W208. doi: 10.1093/nar/gkp335
Determining nucleolar association from sequence by leveraging protein-protein interactions
Boden, M. and Teasdale, R. D. (2008). Determining nucleolar association from sequence by leveraging protein-protein interactions. Journal of Computational Biology, 15 (3), 291-304. doi: 10.1089/cmb.2007.0163
Associating transcription factor-binding site motifs with target GO terms and target genes
Boden, M. and Bailey, T. L. (2008). Associating transcription factor-binding site motifs with target GO terms and target genes. Nucleic Acids Research, 36 (12), 4108-4117. doi: 10.1093/nar/gkn374
Network: Computation in Neural Systems: Editorial
Goodhill, Geoff, Baker, Curtis, Balasubramanian, Vijay, Bazhenov, Maxim, Beck, Jeffrey, Becker, Sue, Bethge, Matthias, Boahen, Kwabena, Boden, Mikael, Bonin, Vincent, Bouret, Sebastien, Fairhall, Adrienne, Flash, Tamar, French, Robert, Gillies, Andrew, Gollisch, Tim, Gurney, Kevin, Gutkin, Boris, Hayhoe, Mary, Hunt, Jonathan, Ibbotson, Michael, Kepecs, Adam, Kingdom, Fred, Kropff, Emilio, Longden, Kit, Marder, Eve, Miikkulainen, Risto, Oliva, Aude, Olshausen, Bruno ... Zhaoping, Li (2008). Network: Computation in Neural Systems: Editorial. Network: Computation in Neural Systems, 19 (1), 1-2. doi: 10.1080/09548980801915409
Suksawatchon, J., Lursinsap, C. and Boden, M. (2007). Computing the reversal distance between genomes in the presence of multi-gene families via binary integer programming. Journal of Bioinformatics and Computational Biology, 5 (1), 117-133. doi: 10.1142/S0219720007002552
Evolving spelling exercises to suit individual student needs
Boden, Marie and Boden, Mikael (2007). Evolving spelling exercises to suit individual student needs. Applied Soft Computing, 7 (1), 126-135. doi: 10.1016/j.asoc.2005.03.001
Identifying novel peroxisomal proteins
Hawkins, J., Mahony, D., Maetschke, S., Wakabayashi, M., Teasdale, R. D. and Boden, M. (2007). Identifying novel peroxisomal proteins. Proteins: Structure Function and Bioinformatics, 69 (3), 606-616. doi: 10.1002/prot.21420
Predicting Nuclear Localization
Hawkins, John, Davis, Lynne and Boden, Mikael (2007). Predicting Nuclear Localization. Journal of Proteome Research, 6 (4), 1402-1409. doi: 10.1021/pr060564n
Detecting and sorting targeting peptides wtih neural networks and support vector machines
Hawkins, John and Boden, Mikael (2006). Detecting and sorting targeting peptides wtih neural networks and support vector machines. Journal of Bioinformatics and Computational Biology, 4 (1), 1-18. doi: 10.1142/S0219720006001771
Boden, M. and Bailey, T. L. (2006). Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. Bioinformatics, 22 (15), 1809-1814. doi: 10.1093/bioinformatics/btl198
Predicting the solvent accessibility of transmembrane residues from protein sequence
Yuan, Z., Zhang, F. S., Davis, M. J., Boden, M. and Teasdale, R. D. (2006). Predicting the solvent accessibility of transmembrane residues from protein sequence. Journal of Proteome Research, 5 (5), 1063-1070. doi: 10.1021/pr050397b
Boden, M., Yuan, Z. and Bailey, T. L. (2006). Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures. Bmc Bioinformatics, 7 (68) 68, 1-12. doi: 10.1186/1471-2105-7-68
STAR: predicting recombination sites from amino acid sequence
Bauer, Denis C., Boden, Mikael, Thier, Ricarda and Gillam, Elizabeth M. (2006). STAR: predicting recombination sites from amino acid sequence. BMC Bioinformatics, 7 (437) 437, 437. doi: 10.1186/1471-2105-7-437
Prediction of subcellular localization using sequence-biased recurrent networks
Boden, Mikael and Hawkins, John (2005). Prediction of subcellular localization using sequence-biased recurrent networks. Bioinformatics, 21 (10), 2279-2286. doi: 10.1093/bioinformatics/bti372
Improved Access To Sequential Motifs: A Note On The Architectural Bias Of Recurrent Networks
Boden, Mikael and Hawkins, John (2005). Improved Access To Sequential Motifs: A Note On The Architectural Bias Of Recurrent Networks. IEEE Transactions on Neural Networks, 16 (2), 491-494. doi: 10.1109/TNN.2005.844086
The applicability of recurrent neural networks for biological sequence analysis
Hawkins, J. and Boden, M. (2005). The applicability of recurrent neural networks for biological sequence analysis. IEEE-ACM Transactions on Computational Biology and Bioinformatiocs, 2 (3), 243-253. doi: 10.1109/TCBB.2005.44
Generalization by symbolic abstraction in cascaded recurrent networks
Boden, Mikael (2004). Generalization by symbolic abstraction in cascaded recurrent networks. Neurocomputing, 57 (1-4), 87-104. doi: 10.1016/j.neucom.2004.01.006
Learning the dynamics of embedded clauses
Boden, M. and Blair, A. (2003). Learning the dynamics of embedded clauses. Applied Intelligence, 19 (1-2), 51-63. doi: 10.1023/A:1023816706954
On learning context-free and context-sensitive languages
Boden, Mikael and Wiles, Janet (2002). On learning context-free and context-sensitive languages. IEEE Transactions on Neural Networks, 13 (2), 491-493. doi: 10.1109/72.991436
Context-free and context-sensitive dynamics in recurrent neural networks
Boden, Mikael and Wiles, Janet (2000). Context-free and context-sensitive dynamics in recurrent neural networks. Connection Science: journal of neural computing, artificial intelligence, and cognitive research, 12 (3-4), 197-210. doi: 10.1080/095400900750060122
Semantic systematicity and context in connectionist networks
Boden, Mikael and Niklasson, Lars (2000). Semantic systematicity and context in connectionist networks. Connection Science, 12 (2), 111-142. doi: 10.1080/09540090050129754
Boden, MB and Niklasson, LF (1993). Connectionism. Artificial Intelligence Review, 7 (5), 259-260. doi: 10.1007/BF00849053
Afonso, J., Shim, W.J., Boden, M., Palpant, N., Fortes, M.R.S., Diniz, W.J.S., Lima, A.O., Rocha, M.I.P., Cardoso, T.F., Bruscadin, J.J., Gromboni, C.F., Nogueira, A.R.A., Mourão, G.B., Zerlotini, A., Coutinho, L.L. and Regitano, L.C.A. (2022). 553. H3K27me3 predicted regulation of gene expression linked to calcium quantification in Nelore muscle. The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_553
Common regulatory targets of NFIA and NFIX mediate postnatal cerebellar development
Harvey, Tracey, Fraser, James, Essebier, Alexandra, Brown, Alexander, Davila, Raul, Boden, Mikael, Gronostajski, Richard and Piper, Michael (2019). Common regulatory targets of NFIA and NFIX mediate postnatal cerebellar development. 10th IBRO World Congress of Neuroscience, Daegu, South Korea, 21-25 September 2019. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.ibror.2019.07.1042
Multilinear decomposition and topographic mapping of binary tensors
Mazgut, Jakub, Tino, Peter, Boden, Mikael and Yan, Hong (2010). Multilinear decomposition and topographic mapping of binary tensors. 20th International Conference on Artificial Neural Networks (ICANN 2010), Thessaloniki, Greece, 15-18 September 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-15819-3_42
Arieshanti, I., Boden, M., Maetschke, S and Buske, F. A. (2009). Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2009, Nashville, Tennessee, U.S.A., 30 March - 2 April , 2009. United States of America: IEEE. doi: 10.1109/CIBCB.2009.4925706
Bauer, Denis C., Buske, Fabian A. and Boden, Mikael (2008). Predicting SUMOylation sites. 3rd IAPR International Conference on Pattern Recognition in Bioinformatics, Melbourne, Australia, 15-17 October, 2008. Berlin, Germany: Springer-Verlag Berlin. doi: 10.1007/978-3-540-88436-1-3
A comparison of sequence kernels for localization prediction of transmembrane proteins
Maetschke, S., Gallagher, M. and Boden, M. (2007). A comparison of sequence kernels for localization prediction of transmembrane proteins. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007), Honolulu, Hawaii, 1-5 April 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/cibcb.2007.4221246
Decoupling signal recognition from sequence models of protein secretion
Buske, Fabian and Boden, Mikael (2007). Decoupling signal recognition from sequence models of protein secretion. Computational Models for Life Sciences - CMLS'07, Gold Coast, QLD, Australia, 17 - 19 December 2007. Melville, NY, U.S.A.: American Institute of Physics. doi: 10.1063/1.2816618
Predicting nucleolar proteins using support-vector machines
Bodén, Mikael (2007). Predicting nucleolar proteins using support-vector machines. 6th Asia-Pacific Bioinformatics Conference, Kyoto, Japan, 14-17 January, 2008. London, U.K.: Imperial College Press. doi: 10.1142/9781848161092_0005
Dufton, L. and Boden, M. (2007). Reducing the number of support vectors to allay inefficiency of large-scale models in computational biology. Computational Models for Life Sciences - CMLS'07, Queensland, Australia, 17-19 December, 2007. New York: American Institute of Physics. doi: 10.1063/1.2816639
Understanding prediction systems for HLA-binding peptides and t-cell epitope identification
You, L., Zhang, P., Boden, M. and Brusic, V. (2007). Understanding prediction systems for HLA-binding peptides and t-cell epitope identification. Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, 1-2 October 2007. Heidelberg, Germany: Springer. doi: 10.1007/978-3-540-75286-8_32
Comparing SVM sequence kernels: A protein subcellular localization theme
Davis, L., Hawkins, J. C., Maetschke, S. R. and Boden, M B (2006). Comparing SVM sequence kernels: A protein subcellular localization theme. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Tas, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..
Boden, M. B. and Hawkins, J. C. (2006). Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway. 2006 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, 16-21 July, 2006. Piscataway, N.J., USA: IEEE. doi: 10.1109/cec.2006.1688653
Higher order HMMs for localization prediction of transmembrance proteins
Maetschke, S. R., Boden, M B and Gallagher, M R (2006). Higher order HMMs for localization prediction of transmembrance proteins. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..
Multi-stage redundancy reduction: effective utilisation of small protein data sets
Hawkins, J. and Boden, M. (2006). Multi-stage redundancy reduction: effective utilisation of small protein data sets. Intelligent Systems for Bioinformatics 2006, Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..
Suksawatchon, J., Lursinsap, C. and Bodén, M. (2005). Heuristic algorithm for computing reversal distance with multigene families via binary integer programming. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594916
Predicting peroxisomal proteins
Hawkins, John and Bodén, Mikael (2005). Predicting peroxisomal proteins. 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05, , , November 14, 2005-November 15, 2005. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594956
Predicting structural disruption of proteins caused by crossover
Bauer, Denis C., Bodén, Mikael, Thier, Ricarda and Yuan, Zheng (2005). Predicting structural disruption of proteins caused by crossover. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594962
BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction
Maetschke, S. R., Towsey, M. and Boden, M. B. (2005). BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. 3rd Asia Pacific Bioinformatics Conference, Singapore, 17-21 January 2005. London, UK: Imperial College Press. doi: 10.1142/9781860947322_0014
Detecting residues in targeting peptides
Boden, M. B. and Hawkins, J. C. (2005). Detecting residues in targeting peptides. 3rd Asia-Pacific Bioinformatics Conference, Singapore, 17-21 January, 2005. London, United Kingdom: Imperial College Press. doi: 10.1142/9781860947322_0013
Exploiting sequence dependencies in the prediction of peroxisomal proteins
Wakabayashi, M., Hawkins, J. C., Maetschke, S. R. and Boden, M. B. (2005). Exploiting sequence dependencies in the prediction of peroxisomal proteins. Intelligent Data Engineering and Automated Learning - IDEAL2005, Brisbane, Australia, 6-8 July 2005. Berlin, Germany: Springer-Verlag. doi: 10.1007/11508069_59
Suksawatchon, J., Lursinsap, C. and Boden, M. B. (2005). Heuristic algorithm for computing reversal distance with multigene families via binary integer programming. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, U.S.A., 14-15 November 2005. Piscataway, NJ, U.S.A.: IEEE Press.
Predicting peroxisomal proteins
Hawkins, J. C. and Boden, M. B. (2005). Predicting peroxisomal proteins. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, USA, 14-15 November, 2005. Piscataway, NJ, USA: IEEE Press.
Predicting structural disruption of proteins caused by crossover
Bauer, Denis C., Boden, Mikael, Thier, Ricarda and Yuan, Zheng (2005). Predicting structural disruption of proteins caused by crossover. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, U.S.A., 14-15 November 2005. Piscataway, NJ, U.S.A.: IEEE Press.
Using evolutionary noise to improve prediction of rapidly evolving targeting peptides
Boden, M. B. (2003). Using evolutionary noise to improve prediction of rapidly evolving targeting peptides. 2003 Congress on Evolutionary Computation, Canberra, 8-12 December, 2003. Australia: The Institute of Electrical and Electronics Engineers. doi: 10.1109/CEC.2003.1299446
Ziemke, T., Carlsson, J. and Boden, M. (1999). An experimental comparison of weight evolution in neural control architectures for a 'Garbage-Collecting' Khepera robot. 1st International Khepera Workshop, Paderborn, Germany, 10-11 December 1999. Paderborn, Germany: HNI-Verlagsschrittenreihe.
Content, context and connectionist networks
Niklasson, L. and Boden, M. B. (1999). Content, context and connectionist networks. 21st Annual Meeting of the Cognitive Science Society, Vancouver, August 1999. New York, NY, United States: Lawrence Erlbaum.
Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units
Boden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units. ICANN'99, Edinburgh, Scotland, 7-10 September, 1999. London, United Kingdom: IEE. doi: 10.1049/cp:19991135
On the ability of recurrent nets to learn deeply embedded structures
Boden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). On the ability of recurrent nets to learn deeply embedded structures. IJCAI'99, Stockholm, 31 July - 6 August 1999. Stockholm: IJCAII.
A connectionist variation on inheritance
Bodén, Mikael (1996). A connectionist variation on inheritance. 1996 International Conference on Artificial Neural Networks, ICANN 1996, , , July 16, 1996-July 19, 1996. Springer Verlag. doi: 10.1007/3-540-61510-5_62
Features of distributed representations for tree-structures: A study of RAAM
Boden, M and Niklasson, L (1995). Features of distributed representations for tree-structures: A study of RAAM. Swedish Conference on Connectionism, Skovde Sweden, Mar 02-03, 1995. MAHWAH: LAWRENCE ERLBAUM ASSOC PUBL.
A Representational Architecture for Nonmonotonic Inheritance Structures
Bodén, Mikael and Narayanan, Ajit (1993). A Representational Architecture for Nonmonotonic Inheritance Structures. ICANN 1993: International Conference on Artificial Neural Networks, Amsterdam, The Netherlands, 13-16 September, 1993. London, United Kingdom: Springer London. doi: 10.1007/978-1-4471-2063-6_79
Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006)
Mikael Boden and Timothy L. Bailey eds. (2006). Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006). Intelligent Systems for Bioinformatics 2006, Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..
What drives the Anterior Expansion of the Central Nervous System?
(2023–2025) ARC Discovery Projects
(2023–2024) Simons Foundation Autism Research Initiative - Pilot Award
TRIAGE: A disease agnostic computational and modelling platform to accelerate variant classification
(2022–2026) NHMRC MRFF Genomics Health Futures Mission
Dual-function ribonucleases: unexpected agents of antibiotic resistance
(2022–2024) NHMRC IDEAS Grants
EnzOnomy - an enzyme-based production pipeline for the bioeconomy
(2021–2024) ARC Discovery Projects
Reconstructing proteins to explain and engineer biological diversity
(2016–2019) ARC Discovery Projects
Tracing nature's template: Using statistical machine learning to evolve biocatalysts
(2012–2015) ARC Discovery Projects
(2011–2014) Monash University
(2011) NHMRC Project Grant
Site-directed recombination of proteins using data-driven bioinformatics
(2007–2008) UQ External Support Enabling Grant
Mining Long-range Dependencies and Interactions in Amino Acid Sequences
(2005) UQ Early Career Researcher
Recurrent neural networks for biological sequence analysis
(2003–2005) UQ New Staff Research Start-Up Fund
Finding meaningful variation in biological data by deep learning
Doctor Philosophy — Principal Advisor
Other advisors:
Bioinformatics of epigenetics at multiple scales: from evolution of epigenetic factors to tracing their marks in organellar development
Doctor Philosophy — Principal Advisor
Other advisors:
Using Statistical Models to Integrate Epigenetic Information by Distinguishing Sources of Variability
Doctor Philosophy — Principal Advisor
Other advisors:
Dual-function ribonucleases: unexpected agents of antibiotic resistance
Doctor Philosophy — Principal Advisor
Other advisors:
Merger of natural and engineered biological sequence space
Doctor Philosophy — Principal Advisor
Other advisors:
Changing the prokaryotic classification status quo with a global genome-based taxonomy
Doctor Philosophy — Associate Advisor
Other advisors:
Cell Type Definition from Single Cell RNA-seq
(2023) Doctor Philosophy — Principal Advisor
Machine learning models of epigenetic dynamics driving cell fate
(2023) Doctor Philosophy — Principal Advisor
Other advisors:
Methods for ancestral sequence reconstruction of large and complex protein families
(2022) Doctor Philosophy — Principal Advisor
Identifying Genetic Regulators of Cell Fate Through Computational Analysis of Epigenetic Repression
(2021) Doctor Philosophy — Principal Advisor
Other advisors:
A computational analysis of transcription factor interactions and binding guided by epigenetics
(2020) Doctor Philosophy — Principal Advisor
Other advisors:
Protein structural phylogeny, a missing chapter in molecular evolutionary biology
(2020) Doctor Philosophy — Principal Advisor
Other advisors:
(2019) Doctor Philosophy — Principal Advisor
Mapping the Regulatory Circuitry of the Genome
(2017) Doctor Philosophy — Principal Advisor
(2016) Doctor Philosophy — Principal Advisor
Other advisors:
A Human Factors Evaluation of Auditory Displays in Medical Electrical Equipment
(2015) Master Philosophy — Principal Advisor
Computational Models of Nucleo-Cytoplasmic Trafficking by Integrating Heterogeneous Data
(2013) Doctor Philosophy — Principal Advisor
The collection and data-driven analyses of proteins localized to nuclear compartments
(2011) Master Philosophy — Principal Advisor
(2010) Master Philosophy — Principal Advisor
Machine architectures for biological sequence classification
(2008) Doctor Philosophy — Principal Advisor
Other advisors:
(2023) Doctor Philosophy — Associate Advisor
Other advisors:
Structure, function and inhibition of Fe-S cluster-dependent dehydratases from the ilvD/EDD family
(2023) Doctor Philosophy — Associate Advisor
Other advisors:
Ancestral reconstruction and characterisation of the CYP2U subfamily
(2022) Doctor Philosophy — Associate Advisor
Other advisors:
Understanding Cell Identity Through the Lens of Genome-Wide Epigenetic Repression
(2022) Doctor Philosophy — Associate Advisor
Other advisors:
Understanding How Antimicrobial Peptides Interact with Membranes
(2022) Doctor Philosophy — Associate Advisor
Other advisors:
(2020) Doctor Philosophy — Associate Advisor
Other advisors:
Biometric Markers for Affective Disorders
(2015) Doctor Philosophy — Associate Advisor
Other advisors:
PreDiZ: a PDZ domain-peptide interaction prediction method
(2015) Master Philosophy — Associate Advisor
Other advisors:
Predicting tissue-specific transcription factor binding and gene expression in silico
(2012) Doctor Philosophy — Associate Advisor
Thermodynamic models for the analysis of quantitative transcriptional regulation
(2010) Doctor Philosophy — Associate Advisor
TOPOLOGICAL MODELS OF TRANSMEMBRANE PROTEINS FOR SUBCELLULAR LOCALIZATION PREDICTION
() Doctor Philosophy — Associate Advisor
Other advisors:
RULE-EXTRACTION FROM SUPPORT VECTOR MACHINES: MEDICAL DIAGNOSIS PREDICTION AND EXPLANATION
(2007) Doctor Philosophy — Associate Advisor
COMPUTATIOANL MODELLING OF THE LANGUAGE PRODUCTION SYSTEM: SEMANTIC MEMORY, CONFLICT MONITORING, AND COGNITIVE CONTROL PROCESSES
(2006) Master Philosophy — Associate Advisor
Other advisors:
FROM GENES TO PHENES AND BACK AGAIN: MODELING THE INTERACTION BETWEEN INDIVIDUAL BEHAVIOUR AND EVOLUTION
(2006) Doctor Philosophy — Associate Advisor
Other advisors:
ROBUSTNESS IN BOOLEAN MODELS OF GENETIC REGULATORY SYSTEMS
(2006) Doctor Philosophy — Associate Advisor
Other advisors: