Professor Mikael Boden
Professor

Mikael Boden

Email: 
Phone: 
+61 7 336 51307

Background

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 7 postdocs from funding he received from both ARC and NHMRC; he has been the primary advisor for 11 PhD and 3 MPhil graduates; he is currently supervising another 6 PhD students in bioinformatics and computational biology. 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.

Availability

Professor Mikael Boden is:
Available for supervision
Media expert

Fields of research

Bioinformatics and computational biology Biological Sciences Genetics Genomics Information and Computing Sciences Modelling and simulation Systems biology

Qualifications

  • Bachelor of Science, Skövde University College
  • Masters (Coursework) of Science, Skövde University College
  • Doctor of Philosophy, University of Exeter

Research interests

  • Bioinformatics

    Thanks to major advances in biotechnology and instrumentation, biology is becoming an information centred science. The field of bioinformatics draws on computer science, math and statistics to enable discoveries in biological data sets. Our research aims to develop, investigate and apply bioinformatics methodologies to understand and resolve a range of open problems in genomics, molecular and systems biology. Recent applications involve protein sorting, nuclear protein organisation, mechanisms of transcriptional regulation, sequence and structure determinants of protein function and modification, and protein engineering. Biological data are now available at scales that challenges our ability to process and analyse them. On the flip side, greater scale gives statistical power to distinguish biologically meaningful signals from mere noise or artefacts, i.e. to identify "drivers" and "determinants" of function and structure. Sometimes the number of features (that describe each observation) is so great that we must use (biological) expertise to constrain the search for signals. Broadly put, our research aims to 1. effectively manage the complexity of operations involved in analysing millions of sequence reads, thousands of genomes, and proteomes of thousands of dynamically regulated molecules, etc 2. enable the seamless aggregation (or integration) of uncertain and incomplete data, typical of the next wave of biotechnology, across genomics, proteomics, structural biology, etc, and of using biological expertise 3. empower the interpretation of "whole system" data, aimed at understanding of basis of disease and other scientifically relevant phenotypes, using statistics and machine learning

Search Professor Mikael Boden’s works on UQ eSpace

129 works between 1993 and 2024
All (129) Journal Article (93) Book Chapter (4) Conference Publication (31) Edited Outputs (1)

21 - 40 of 129 works

2020

Journal Article

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

T-Gene: improved target gene prediction

2019

Journal Article

Correction to: Detailed prediction of protein sub-nuclear localization (BMC Bioinformatics (2019) 20 (205) DOI: 10.1186/s12859-019-2790-9)

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

Correction to: Detailed prediction of protein sub-nuclear localization (BMC Bioinformatics (2019) 20 (205) DOI: 10.1186/s12859-019-2790-9)

2019

Journal Article

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

Common Regulatory Targets of NFIA, NFIX and NFIB during Postnatal Cerebellar Development

2019

Conference Publication

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

Common regulatory targets of NFIA and NFIX mediate postnatal cerebellar development

2019

Journal Article

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

NAD+ cleavage activity by animal and plant TIR domains in cell death pathways

2019

Journal Article

SeqScrub: a web tool for automatic cleaning and annotation of FASTA file headers for bioinformatic applications

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

SeqScrub: a web tool for automatic cleaning and annotation of FASTA file headers for bioinformatic applications

2019

Journal Article

The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases

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

The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases

2019

Journal Article

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

Detailed prediction of protein sub-nuclear localization

2019

Journal Article

Engineering thermostable CYP2D enzymes for biocatalysis using combinatorial libraries of ancestors for directed evolution (CLADE)

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

Engineering thermostable CYP2D enzymes for biocatalysis using combinatorial libraries of ancestors for directed evolution (CLADE)

2018

Journal Article

Granule neuron precursor cell proliferation is regulated by NFIX and intersectin 1 during postnatal cerebellar development

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

Granule neuron precursor cell proliferation is regulated by NFIX and intersectin 1 during postnatal cerebellar development

2018

Journal Article

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

Engineering highly functional thermostable proteins using ancestral sequence reconstruction

2018

Journal Article

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

SCRAM: a pipeline for fast index-free small RNA read alignment and visualization

2018

Journal Article

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

Effect of Binding on Enantioselectivity of Epoxide Hydrolase

2017

Journal Article

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

Learning epistatic interactions from sequence-activity data to predict enantioselectivity

2017

Journal Article

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

NLSdb-major update for database of nuclear localization signals and nuclear export signals

2017

Journal Article

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

Bioinformatics approaches to predict target genes from transcription factor binding data

2017

Journal Article

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

PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation

2016

Journal Article

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

Structure and function of the TIR domain from the grape NLR protein RPV1

2016

Journal Article

Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence

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

Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence

2016

Journal Article

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

CISMAPPER: predicting regulatory interactions from transcription factor ChIP-seq data

Current funding

  • 2023 - 2026
    What drives the Anterior Expansion of the Central Nervous System?
    ARC Discovery Projects
    Open grant
  • 2023 - 2024
    What is the common factor driving brain overgrowth in ASD? Investigating the relationship between epigenetic marks neural stem cell proliferation.
    Simons Foundation Autism Research Initiative - Pilot Award
    Open grant
  • 2022 - 2026
    TRIAGE: A disease agnostic computational and modelling platform to accelerate variant classification
    NHMRC MRFF Genomics Health Futures Mission
    Open grant
  • 2022 - 2024
    Dual-function ribonucleases: unexpected agents of antibiotic resistance
    NHMRC IDEAS Grants
    Open grant
  • 2021 - 2024
    EnzOnomy - an enzyme-based production pipeline for the bioeconomy
    ARC Discovery Projects
    Open grant

Past funding

  • 2016 - 2019
    Reconstructing proteins to explain and engineer biological diversity
    ARC Discovery Projects
    Open grant
  • 2012 - 2015
    Tracing nature's template: Using statistical machine learning to evolve biocatalysts
    ARC Discovery Projects
    Open grant
  • 2011
    A systems biology approach to elucidate common principles and mechanisms underlying triplet repeat expansion associated genetic defects
    NHMRC Project Grant
    Open grant
  • 2005
    Mining Long-range Dependencies and Interactions in Amino Acid Sequences
    UQ Early Career Researcher
    Open grant
  • 2003 - 2005
    Recurrent neural networks for biological sequence analysis
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Professor Mikael Boden is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Bioinformatics of epigenetics at multiple scales: from evolution of epigenetic factors to tracing their marks in organellar development

    Principal Advisor

    Other advisors: Professor Stefan Thor

  • Doctor Philosophy

    Do cell types exist in a continuum? Single-cell bioinformatics across species, over time and space

    Principal Advisor

    Other advisors: Professor Stefan Thor

  • Doctor Philosophy

    Finding meaningful variation in biological data by deep learning

    Principal Advisor

    Other advisors: Dr Gabriel Foley

  • Doctor Philosophy

    Merger of natural and engineered biological sequence space

    Principal Advisor

    Other advisors: Dr Michael Forbes

  • Doctor Philosophy

    Dual-function ribonucleases: unexpected agents of antibiotic resistance

    Principal Advisor

    Other advisors: Professor Phil Hugenholtz, Dr Gabriel Foley

  • Doctor Philosophy

    Using Statistical Models to Integrate Epigenetic Information by Distinguishing Sources of Variability

    Principal Advisor

    Other advisors: Professor Michael Piper, Dr Gabriel Foley

  • Doctor Philosophy

    How SETD2 shapes cortical development

    Associate Advisor

    Other advisors: Professor Stefan Thor, Professor Michael Piper

  • Doctor Philosophy

    Changing the prokaryotic classification status quo with a global genome-based taxonomy

    Associate Advisor

    Other advisors: Professor Phil Hugenholtz

  • Doctor Philosophy

    Decoding the genetic pathways governing cell diversity in the mammalian hypothalamus

    Associate Advisor

    Other advisors: Professor Michael Piper, Professor Stefan Thor

Completed supervision

Enquiries

Contact Professor Mikael Boden directly for media enquiries about:

  • Artificial Intelligence (AI)
  • Bioinformatics
  • Biology and computers
  • Computational biology
  • Computer learning
  • DNA sequencing
  • Machine learning
  • Systems biology

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