Dr Nick Hamilton is the Institute Bio-Mathematician at the Institute for Molecular Bioscience (IMB) and holds a co-appointment with the Research Computing Centre at UQ. He gained a PhD in Pure Mathematics from the University of Western Australia in 1996 and was subsequently awarded Fellowships in Australia and Belgium. In 2002, Nick made the decision to change fields into the exciting new areas of computational biology and bioinformatics, returned to Australia, and subsequently took up a position within the ARC Centre of Excellence in Bioinformatics at UQ. In 2008 he was appointed as a Laboratory Head at IMB, and Institute Bio-Mathematician in 2014, where he continues to lead a group in bio-image informatics, mathematical modelling and data visualisation, developing methodologies to deal with the current deluge of data that new microscopy imaging technologies have enabled.
Journal Article: Nephron progenitor commitment is a stochastic process influenced by cell migration
Lawlor, Kynan T, Zappia, Luke, Lefevre, James, Park, Joo-Seop, Hamilton, Nicholas A, Oshlack, Alicia, Little, Melissa H and Combes, Alexander N (2019) Nephron progenitor commitment is a stochastic process influenced by cell migration. eLife, 8 . doi:10.7554/elife.41156
Journal Article: Branching morphogenesis in the developing kidney 1 is not impacted by nephron formation or integration
Short, Kieran M., Combes, Alexander N., Lisnyak, Valerie, Lefevre, James G., Jones, Lynelle K., Little, Melissa H., Hamilton, Nicholas A. and Smyth, Ian M. (2018) Branching morphogenesis in the developing kidney 1 is not impacted by nephron formation or integration. eLife, 7 . doi:10.7554/eLife.38992
Conference Publication: Predicting blood-brain barrier permeability of marine-derived kinase inhibitors
Plisson, Fabien, Piggott, Andrew, Hamilton, Nicholas and Capon, Robert (2018). Predicting blood-brain barrier permeability of marine-derived kinase inhibitors. In: 256th National Meeting and Exposition of the American-Chemical-Society (ACS) - Nanoscience, Nanotechnology and Beyond, Boston, MA, United States, (). 19-23 August 2018.
Machine learning for organelle selection and feature detection in live cells
(2018–2020) ARC Discovery Projects
Molecular characterisation of transverse tubule development in skeletal muscle
(2016–2019) NHMRC Project Grant
(2016–2018) Monash University
Deep learning methodologies for assistive diagnosis in skin cancer imaging
Doctor Philosophy
Dynamics of SOX18 protein-protein interactions during the transcriptional control of endothelial cell differentiation
Doctor Philosophy
Modelling statics networks in bioinformatics applications using advanced computing.
(2011) Doctor Philosophy
Image-based analysis of phagocytosis: measuring engulfment and internalization
Condon, Nicholas D., Wall, Adam A., Yeo, Jeremy C., Hamilton, Nicholas A. and Stow, Jennifer L. (2017). Image-based analysis of phagocytosis: measuring engulfment and internalization. In Roberto Botelho (Ed.), Phagocytosis and phagosomes: methods and protocols (pp. 201-214) New York, NY, United States: Humana Press. doi:10.1007/978-1-4939-6581-6_13
An Introduction to Protein contact Prediction
Hamilton, N. and Huber, T. (2008). An Introduction to Protein contact Prediction. In Jonathan M. Keith (Ed.), Bioinformatics (pp. 87-104) USA: Humana Press. doi:10.1007/978-1-60327-429-6-3
Hamilton, Nicholas, Kerr, Markus, Burrage, Kevin and Teasdale, Rohan D. (2007). Analyzing real-time video microscopy: the dyamics and geometry of vescicles and tubules in endocytosis. In Bonifacio, J. S., Dasso, M., Harford, J. B., Lippincott-Schwartz, J. and Yamada K. M. (Ed.), Current Protocols in Cell Biology 35 ed. (pp. 4.16.1-1.16.11) Hoboken, NJ United States: John Wiley & Sons. doi:10.1002/0471143030.cb0416s35
Computer-intensive simulations for cellular models
Burrage, K., Burrage,P. M., Hamilton, N. and Tian, T (2006). Computer-intensive simulations for cellular models. In Albert Y Zomaya (Ed.), Parallel Computing in Bioinformatics and Computational Biology 1 ed. (pp. 79-119) New Jersey, USA: John Wiley & Sons.
Nephron progenitor commitment is a stochastic process influenced by cell migration
Lawlor, Kynan T, Zappia, Luke, Lefevre, James, Park, Joo-Seop, Hamilton, Nicholas A, Oshlack, Alicia, Little, Melissa H and Combes, Alexander N (2019) Nephron progenitor commitment is a stochastic process influenced by cell migration. eLife, 8 . doi:10.7554/elife.41156
Short, Kieran M., Combes, Alexander N., Lisnyak, Valerie, Lefevre, James G., Jones, Lynelle K., Little, Melissa H., Hamilton, Nicholas A. and Smyth, Ian M. (2018) Branching morphogenesis in the developing kidney 1 is not impacted by nephron formation or integration. eLife, 7 . doi:10.7554/eLife.38992
Liang, Xuan, Budnar, Srikanth, Gupta, Shafali, Verma, Suzie, Han, Siew-Ping, Hill, Michelle M., Daly, Roger J, Parton, Robert G., Hamilton, Nicholas A., Gomez, Guillermo A. and Yap, Alpha S. (2017) Author Correction: tyrosine dephosphorylated cortactin downregulates contractility at the epithelial zonula adherens through SRGAP1. Nature Communications, 8 2021: 2021. doi:10.1038/s41467-017-02131-w
Liang, Xuan, Budnar, Srikanth, Gupta, Shafali, Verma, Suzie, Han, Siew-Ping, Hill, Michelle M., Daly, Roger J., Parton, Robert G., Hamilton, Nicholas A., Gomez, Guillermo A. and Yap, Alpha S. (2017) Correction: Tyrosine dephosphorylated cortactin downregulates contractility at the epithelial zonula adherens through SRGAP1. Nature Communications, 8 . doi:10.1038/s41467-017-02131
Liang, Xuan, Budnar, Srikanth, Gupta, Shafali, Verma, Suzie, Han, Siew-Ping, Hill, Michelle M., Daly, Roger J., Parton, Robert G., Hamilton, Nicholas A., Gomez, Guillermo A. and Yap, Alpha S. (2017) Tyrosine dephosphorylated cortactin downregulates contractility at the epithelial zonula adherens through SRGAP1. Nature Communications, 8 1: . doi:10.1038/s41467-017-00797-w
Branching morphogenesis in the developing kidney is governed by rules that pattern the ureteric tree
Lefevre, James, Short, Kieran M, Lamberton, Timothy O, Michos, Odyssé, Graf, Daniel, Smyth, Ian M and Hamilton, Nicholas A (2017) Branching morphogenesis in the developing kidney is governed by rules that pattern the ureteric tree. Development (Cambridge, England), 144 23: 4377-4385. doi:10.1242/dev.153874
Ali, Rubbiya A., Mehdi, Ahmed M., Rothnagel, Rosalba, Hamilton, Nicholas A., Gerle, Christoph, Landsberg, Michael J. and Hankamer, Ben (2017) RAZA: A Rapid 3D z-crossings algorithm to segment electron tomograms and extract organelles and macromolecules. Journal of Structural Biology, 200 2: 73-86. doi:10.1016/j.jsb.2017.10.002
Montgomery, Brian L., Shivas, Martin A., Hall-Mendelin, Sonja, Edwards, Jim, Hamilton, Nicholas A., Jansen, Cassie C., McMahon, Jamie L., Warrilow, David and van den Hurk, Andrew F. (2017) Rapid surveillance for vector presence (RSVP): development of a novel system for detecting Aedes aegypti and Aedes albopictus. PLoS Neglected Tropical Diseases, 11 3: e0005505. doi:10.1371/journal.pntd.0005505
Lefevre, James G., Chiu, Han S., Combes, Alexander N., Vanslambrouck, Jessica M., Ju, Ali, Hamilton, Nicholas A. and Little, Melissa H. (2017) Self-organisation after embryonic kidney dissociation is driven via selective adhesion of ureteric epithelial cells. Development, 144 6: 1087-1096. doi:10.1242/dev.140228
Analysed cap mesenchyme track data from live imaging of mouse kidney development
Lefevre, James G., Combes, Alexander N., Little, Melissa H. and Hamilton, Nicholas A. (2016) Analysed cap mesenchyme track data from live imaging of mouse kidney development. Data in Brief, 9 149-154. doi:10.1016/j.dib.2016.08.053
Combes, Alexander N., Lefevre, James G., Wilson, Sean, Hamilton, Nicholas A. and Little, Melissa H. (2016) Cap mesenchyme cell swarming during kidney development is influenced by attraction, repulsion, and adhesion to the ureteric tip. Developmental Biology, 418 2: 297-306. doi:10.1016/j.ydbio.2016.06.028
It is a search for impossible galaxies
Hamilton, Nick (2016) It is a search for impossible galaxies. New Scientist, 231 3088: 55-55.
Yang, Zhe, Hong, Lee Kian, Follett, Jordan, Wabitsch, Martin, Hamilton, Nicholas A., Collins, Brett, Bugarcic, Andrea and Teasdale, Rohan D. (2016) Functional characterization of retromer in GLUT4 storage vesicle formation and adipocyte differentiation. The FASEB Journal, 39 3: 1037-1050. doi:10.1096/fj.15-274704
Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. (2015) Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions. Nature Cell Biology, 17 10: 1282-1293. doi:10.1038/ncb3239
A spatially-averaged mathematical model of kidney branching morphogenesis
Zubkov, V. S., Combes, A. N., Short, K. M., Lefevre, J. G., Hamilton, N. A., Smyth, I. M., Little, M. H. and Byrne, H. M. (2015) A spatially-averaged mathematical model of kidney branching morphogenesis. Journal of Theoretical Biology, 379 24-37. doi:10.1016/j.jtbi.2015.04.015
Dynamic imaging of the recycling endosomal network in macrophages
Wall, Adam A., Condon, Nicholas D., Yeo, Jeremy C., Hamilton, Nicholas A. and Stow, Jennifer L. (2015) Dynamic imaging of the recycling endosomal network in macrophages. Methods in Cell Biology, 130 1-18. doi:10.1016/bs.mcb.2015.04.007
Comparing and distinguishing the structure of biological branching
Lamberton, Timothy O., Lefevre, James, Short, Kieram M., Smyth, Ian M. and Hamilton, Nicholas A. (2015) Comparing and distinguishing the structure of biological branching. Journal of Theoretical Biology, 365 226-237. doi:10.1016/j.jtbi.2014.10.001
An integrated pipeline for the multidimensional analysis of branching morphogenesis
Combes, Alexander N., Short, Kieran M., Lefevre, James, Hamilton, Nicholas A., Little, Melissa H. and Smyth, Ian M. (2014) An integrated pipeline for the multidimensional analysis of branching morphogenesis. Nature Protocols, 9 12: 2859-2879. doi:10.1038/nprot.2014.193
On linear models and parameter identifiability in experimental biological systems
Lamberton, Timothy O., Condon, Nicholas D., Stow, Jennifer L. and Hamilton, Nicholas A. (2014) On linear models and parameter identifiability in experimental biological systems. Journal of Theoretical Biology, 358 102-121. doi:10.1016/j.jtbi.2014.05.028
Global quantification of tissue dynamics in the developing mouse kidney
Short, Kieran M., Combes, Alexander N., Lefevre, James, Ju, Adler L., Georgas, Kylie M., Lamberton, Timothy, Cairncross, Oliver, Rumballe, Bree A., McMahon, Andrew P., Hamilton, Nicholas A., Smyth, Ian M. and Little, Melissa H. (2014) Global quantification of tissue dynamics in the developing mouse kidney. Developmental Cell, 29 2: 188-202. doi:10.1016/j.devcel.2014.02.017
Wu, Selwin K., Gomez, Guillermo A., Michael, Magdalene, Verma, Suzie, Cox, Hayley L., Lefevre, James G., Parton, Robert G., Hamilton, Nicholas A., Neufeld, Zoltan and Yap, Alpha S. (2014) Cortical F-actin stabilization generates apical–lateral patterns of junctional contractility that integrate cells into epithelia. Nature Cell Biology, 16 2: 167-178. doi:10.1038/ncb2900
Follett, Jordan, Norwood, Suzanne J., Hamilton, Nicholas A., Mohan, Megha, Kovtun, Oleksiy, Tay, Stephanie, Yang, Zhe, Wood, Stephen A., Mellick, George D., Silburn, Peter A., Collins, Brett M., Bugarcic, Andrea and Teasdale, Rohan D. (2014) The Vps35 D620N mutation linked to Parkinson's disease disrupts the cargo sorting function of retromer. Traffic, 15 2: 230-244. doi:10.1111/tra.12136
Modelling cell turnover in a complex tissue during development
Lefevre, J., Marshall, D. J., Combes, A. N., Ju, A. L., Little, M. H. and Hamilton, N. A. (2013) Modelling cell turnover in a complex tissue during development. Journal of Theoretical Biology, 338 66-79. doi:10.1016/j.jtbi.2013.08.033
High-throughput quantification of early stages of phagocytosis
Yeo, Jeremy Changyu, Wall, Adam Alexander, Stow, Jennifer Lea and Hamilton, Nicholas Ahti (2013) High-throughput quantification of early stages of phagocytosis. Biotechniques, 55 3: 115-124. doi:10.2144/000114075
Some novel techniques of parameter estimation of dynamical models in biological systems
Liu, F., Burrage, K and Hamilton, N. A. (2013) Some novel techniques of parameter estimation of dynamical models in biological systems. IMA Journal of Applied Mathematics, 78 2: 235-260. doi:10.1093/imamat/hxr046
Jeffery, Jessie M., Grigoriev, Ilya, Poser, Ina, van der Horst, Armando, Hamilton, Nicholas, Waterhouse, Nigel, Bleier, Jonathan, Subramaniam, V. Nathan, Maly, Ivan V., Akhmanova, Anna and Khanna, Kum Kum (2013) Centrobin regulates centrosome function in interphase cells by limiting pericentriolar matrix recruitment. Cell Cycle, 12 6: 899-906. doi:10.4161/cc.23879
Stanley, A. C., Lieu, Z. Z., Wall, A. A., Venturato, J., Khromykh, T., Hamilton, N. A., Gleeson, P. A. and Stow, J. L. (2012) Recycling endosome-dependent and -independent mechanisms for IL-10 secretion in LPS-activated macrophages. Journal of Leukocyte Biology, 92 6: 1227-1239. doi:10.1189/jlb.0412191
Bustamam, Alhadi, Burrage, Kevin and Hamilton, Nicolas A. (2012) Fast parallel Markov clustering in bioinformatics using massively parallel computing on GPU with CUDA and ELLPACK-R sparse format. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9 3: 679-692. doi:10.1109/TCBB.2011.68
Postlipolytic insulin-dependent remodeling of micro lipid droplets in adipocytes
Ariotti, Nicholas, Samantha Murphy, Hamilton, Nicholas A., Wu, Lizhen, Green, Kathryn, Nicole Schieber, Li, Peng, Martin, Sally and Parton, Robert G. (2012) Postlipolytic insulin-dependent remodeling of micro lipid droplets in adipocytes. Molecular Biology of The Cell, 23 10: 1826-1837. doi:10.1091/mbc.E11-10-0847
Open source tools for fluorescent imaging
Hamilton, Nicholas A. (2012) Open source tools for fluorescent imaging. Methods in Enzymology, 504 393-417. doi:10.1016/B978-0-12-391857-4.00020-3
Kovacs, Eva M., Verma, Suzie, Ali, Radiy G., Ratheesh, Aparna, Hamilton, Nicholas A., Akhmanova, Anna and Yap, Alpha S. (2011) N-WASP regulates the epithelial junctional actin cytoskeleton through a non-canonical post-nucleation pathway. Nature Cell Biology, 13 8: 934-943. doi:10.1038/ncb2290
Smutny, Michael, Wu, Selwin K., Gomez, Guillermo A., Mangold, Sabine, Yap, Alpha S. and Hamilton, Nicholas A. (2011) Multicomponent analysis of junctional movements regulated by myosin II isoforms at the epithelial zonula adherens. PLoS One, 6 7 Article # e22458: e22458. doi:10.1371/journal.pone.0022458
Beaumont, Kimberley A., Hamilton, Nicholas A., Moores, Matthew T., Brown, Darren L., Ohbayashi, Norihiko, Cairncross, Oliver, Cook, Anthony L., Smith, Aaron G., Misaki, Ryo, Fukuda, Mitsunori, Taguchi, Tomohiko, Sturm, Richard A. and Stow, Jennifer L. (2011) The recycling endosome protein Rab17 regulates melanocytic filopodia formation and melanosome trafficking. Traffic, 12 5: 627-643. doi:10.1111/j.1600-0854.2011.01172.x
Hepatocyte growth factor acutely perturbs actin filament anchorage at the epithelial zonula adherens
Mangold, Sabine, Wu, Selwin K., Norwood, Suzanne J., Collins, Brett M., Hamilton, Nicholas A., Thorn, Peter and Yap, Alpha S. (2011) Hepatocyte growth factor acutely perturbs actin filament anchorage at the epithelial zonula adherens. Current Biology, 21 6: 503-507. doi:10.1016/j.cub.2011.02.018
Smutny, Michael, Cox, Hayley L., Leerberg, Joanne M., Kovacs, Eva M., Conti, Mary Anne, Ferguson, Charles, Hamilton, Nicholas A., Parton, Robert G., Adelstein, Robert S. and Yap, Alpha S. (2010) Myosin II isoforms identify distinct functional modules that support integrity of the epithelial zonula adherens. Nature Cell Biology, 12 7: 696-702. doi:10.1038/ncb2072
Inhibition of the PtdIns(5) kinase PIKfyve disrupts intracellular replication of Salmonella
Kerr, Markus C., Wang, Jack T. H., Castro, Natalie A., Hamilton, Nicholas A., Town, Liam, Brown, Darren L., Meunier, Frederic A., Brown, Nat F., Stow, Jennifer L. and Teasdale, Rohan D. (2010) Inhibition of the PtdIns(5) kinase PIKfyve disrupts intracellular replication of Salmonella. EMBO Journal, 29 8: 1331-1347. doi:10.1038/emboj.2010.28
Visualization of image data from cells to organisms
Walter, Thomas, Shattuck, David W., Baldock, Richard, Bastin, Mark E., Carpenter, Anne E., Duce, Suzanne, Ellenburg, Jan, Fraser, Adam, Hamilton, Nicholas, Pieper, Steve, Ragan, Mark A., Schneider, Jurgen E., Tomancak, Pavel and Heriche, Jean-Karim (2010) Visualization of image data from cells to organisms. Nature Methods, 7 3s: S26-S41. doi:10.1038/NMETH.1431
CMap3D: a 3D visualization tool for comparative genetic maps
Duran, C, Boskovic, Z, Imelfort, M, Batley, J, Hamilton, NA and Edwards, D (2010) CMap3D: a 3D visualization tool for comparative genetic maps. Bioinformatics, 26 2: 273-274. doi:10.1093/bioinformatics/btp646
Automated organelle-based colocalization in whole-cell imaging
Woodcroft, B. J., Hammond, L, Stow, J. L. and Hamilton, N. A. (2009) Automated organelle-based colocalization in whole-cell imaging. Cytometry Part A, 75A 11: 941-950. doi:10.1002/cyto.a.20786
Quantification and its applications in fluorescent microscopy imaging
Hamilton, Nicholas (2009) Quantification and its applications in fluorescent microscopy imaging. Traffic, 10 8: 951-961. doi:10.1111/j.1600-0854.2009.00938.x
Hamilton, Nick (2009) Edge of darkness. New Scientist, 201 2698: 25-25. doi:10.1016/S0262-4079(09)60646-1
Statistical and visual differentiation of subcellular imaging
Hamilton, Nicholas A., Wang, Jack T. H., Kerr, Markus C. and Teasdale, Rohan. D. (2009) Statistical and visual differentiation of subcellular imaging. BMC Bioinformatics, 10 94.1-94.12. doi:10.1186/1471-2105-10-94
An introduction to protein contact prediction
Hamilton, Nicholas and Huber, Thomas (2008) An introduction to protein contact prediction. Methods in molecular biology (Clifton, N.J.), 453 87-104. doi:10.1007/978-1-60327-429-6_3
Visualizing and clustering high throughput sub-cellular localization imaging
Hamilton, Nicholas. A. and Teasdale, Rohan D. (2008) Visualizing and clustering high throughput sub-cellular localization imaging. BMC Bioinformatics, 9 Article # 81: 1-12. doi:10.1186/1471-2105-9-81
Towards defining the nuclear proteome
Fink, J. Lynn, Karunaratne, Seetha, Mittal, Amit, Gardiner, Donald M., Hamilton, Nicholas, Mahony, Donna, Kai, Chikatoshi, Suzuki, Harukazu, Hayashizaki, Yosihide and Teasdale, Rohan D. (2008) Towards defining the nuclear proteome. Genome Biology, 9 1: 1-15. doi:10.1186/gb-2008-9-1-r15
LOCATE: A mammalian protein subcellular localization database
Sprenger, J., Fink, L., Karunaratne, S., Hanson, K., Hamilton, N. A. and Teasdale, R. D. (2008) LOCATE: A mammalian protein subcellular localization database. Nucleic Acids Research, 36 Database issue: D230-D233. doi:10.1093/nar/gkm950
Bilateral edge filter: Photometrically weighted, discontinuity based edge detection
Pantelic, R., Ericksson, G. B., Hamilton, N. and Hankamer, B. (2007) Bilateral edge filter: Photometrically weighted, discontinuity based edge detection. Journal of Structural Biology, 160 1: 93-102. doi:10.1016/j.jsb.2007.07.005
DomainDraw: A macromolecular feature drawing program
Fink, J. Lynn and Hamilton, Nicholas (2007) DomainDraw: A macromolecular feature drawing program. In Silico Bilogy, 7 2: 145-150.
Fast automated cell phenotype image classification
Hamilton, N. A., Pantelic, R. S., Hanson, K. and Teasdale, R. D. (2007) Fast automated cell phenotype image classification. BMC Bioinformatics, 8 110: 1-8. doi:10.1186/1471-2105-8-110
Visualisation of macropinosome maturation by the recruitment of sorting nexins
Kerr, Markus C., Lindsay, Margaret R., Luetterforst, Robert, Hamilton, Nicholas, Simpson, Fiona, Parton, Robert G., Gleeson, Paul A. and Teasdale, Rohan D. (2006) Visualisation of macropinosome maturation by the recruitment of sorting nexins. Journal Of Cell Science, 119 19: 3967-3980. doi:10.1242/jcs.03167
Phylogenetic identification of lateral genetic transfer events
Beiko, R. G. and Hamilton, N. (2006) Phylogenetic identification of lateral genetic transfer events. Bmc Evolutionary Biology, 6 15: . doi:10.1186/1471-2148-6-15
Maximal arcs in PG(2,q) and partial flocks of the quadratic cone
Hamilton, N. and Thas, J. A. (2006) Maximal arcs in PG(2,q) and partial flocks of the quadratic cone. Advances In Geometry, 6 1: 39-51. doi:10.1515/ADVGEOM.2006.003
On the spectrum of non-Denniston maximal arcs in PG(2,2h)
Hamilton, N. and Mathon, R. (2004) On the spectrum of non-Denniston maximal arcs in PG(2,2h). European Journal of Combinatorics, 25 3: 415-421. doi:10.1016/j.ejc.2003.07.006
Protein contact prediction using patterns of correlation
Hamilton, Nicholas, Burrage, Kevin, Ragan, Mark A. and Huber, Thomas (2004) Protein contact prediction using patterns of correlation. Proteins-structure Function And Bioinformatics, 56 4: 679-684. doi:10.1002/prot.20160
More maximal arcs in Desarguesian projective planes and their geometric structure
Hamilton, N. and Mathony, R. (2003) More maximal arcs in Desarguesian projective planes and their geometric structure. Advances In Geometry, 3 3: 251-261. doi:10.1515/advg.2003.015
Degree 8 maximal arcs in PG(2,2(h)), h odd
Hamilton, Nicholas (2002) Degree 8 maximal arcs in PG(2,2(h)), h odd. Journal of Combinatorial Theory Series A, 100 2: 265-276. doi:10.1006/jcta.2002.3297
Full embeddings of (alpha, beta)-geometries in projective spaces
Cauchie, Sara, De Clerck, Frank and Hamilton, Nicholas (2002) Full embeddings of (alpha, beta)-geometries in projective spaces. European Journal of Combinatorics, 23 6: 635-646. doi:10.1006/eujc.2002.0593
Strongly regular graphs from differences of quadrics
Hamilton, N. A. (2002) Strongly regular graphs from differences of quadrics. Discrete Mathematics, 256 1-2: 465-469. doi:10.1016/S0012-365X(02)00390-4
Strongly regular (alpha,beta)-geometries
Hamilton, Nicholas and Mathon, Rudolf (2001) Strongly regular (alpha,beta)-geometries. Journal of Combinatorial Theory Series A, 95 2: 234-250. doi:10.1006/jcta.2000.3164
Hamilton, Nicholas and Penttila, Tim (2001) Groups of maximal arcs. Journal of Combinatorial Theory Series A, 94 1: 63-86. doi:10.1006/jcta.2000.3126
Existence and non-existence of m-systems of polar spaces
Hamilton, Nicholas and Mathon, Rudolf (2001) Existence and non-existence of m-systems of polar spaces. European Journal of Combinatorics, 22 1: 51-61. doi:10.1006/eujc.2000.0417
Perp-systems and partial geometries
De Clerck, Frank, Delanote, Mario, Hamilton, Nicholas and Mathon, Rudolf (2001) Perp-systems and partial geometries. Advances in Geometry, 2 1: 1-12.
Sets of type (a, b) from subgroups of Gamma L(1, p(R))
Hamilton, N. and Penttila, T. (2001) Sets of type (a, b) from subgroups of Gamma L(1, p(R)). Journal of Algebraic Combinatorics, 13 1: 67-76. doi:10.1023/A:1008775818040
m-systems of polar spaces and maximal arcs in projective planes
Hamilton, N and Quinn, CT (2000) m-systems of polar spaces and maximal arcs in projective planes. Bulletin of the Belgian Mathematical Society-Simon Stevin, 7 2: 237-248.
Maximal arcs and disjoint maximat arcs in projective planes of order 16
Hamilton, N. A., Stoichev, S. and Tonchev, V. (2000) Maximal arcs and disjoint maximat arcs in projective planes of order 16. Journal of Geometry, 67 1-2: 117-126. doi:10.1007/BF01220304
Quasi-quadrics and related structures
De Clerck, F., Hamilton, N. A., O'Keefe, C. M. and Penttila, T. (2000) Quasi-quadrics and related structures. Australian Journal of Combinatorics, 22 151-166.
Baer partitions of small order projective planes
Mathon, R. and Hamilton, N. A. (1999) Baer partitions of small order projective planes. The journal of combinatorial mathematics and combinatorial computing, 29 87-94.
On the minimal possible volumes of strong Steiner trades
Hamilton, N. A. and Khodkar, A. (1999) On the minimal possible volumes of strong Steiner trades. Australasian Journal of Combinatorics, 20 197-203.
Partitioning hyperovals in PG(2, 64)
Hamilton, N. A. and de Resmini, M. J. (1999) Partitioning hyperovals in PG(2, 64). Bulletin of the Institute of Combinatorics and its Applications, 27 89-94.
On the non-existence of Thas maximal arcs in odd order projective planes
Blokhuis, A, Hamilton, N and Wilbrink, H (1998) On the non-existence of Thas maximal arcs in odd order projective planes. European Journal of Combinatorics, 19 4: 413-417. doi:10.1006/eujc.1997.0205
Hyperovals and unitals in Figueroa planes
DE Resmini, MJ and Hamilton, N (1998) Hyperovals and unitals in Figueroa planes. European Journal of Combinatorics, 19 2: 215-220. doi:10.1006/eujc.1997.0166
Some Inherited Maximal Arcs in Derived Dual Translation-Planes
Hamilton, N (1995) Some Inherited Maximal Arcs in Derived Dual Translation-Planes. Geometriae Dedicata, 55 2: 165-173. doi:10.1007/BF01264927
Some maximal arcs in Hall planes
Hamilton, Nicholas (1995) Some maximal arcs in Hall planes. Journal of Geometry, 52 1-2: 101-107. doi:10.1007/bf01406830
A characterisation of thas maximal arcs in translation planes of square order
Hamilton, Nicholas and Penttila, Tim (1994) A characterisation of thas maximal arcs in translation planes of square order. Journal of Geometry, 51 1-2: 60-66. doi:10.1007/bf01226857
Some Maximal Arcs in Derived Dual Hall Planes
Hamilton, N (1994) Some Maximal Arcs in Derived Dual Hall Planes. European Journal of Combinatorics, 15 6: 525-532. doi:10.1006/eujc.1994.1054
Predicting blood-brain barrier permeability of marine-derived kinase inhibitors
Plisson, Fabien, Piggott, Andrew, Hamilton, Nicholas and Capon, Robert (2018). Predicting blood-brain barrier permeability of marine-derived kinase inhibitors. In: 256th National Meeting and Exposition of the American-Chemical-Society (ACS) - Nanoscience, Nanotechnology and Beyond, Boston, MA, United States, (). 19-23 August 2018.
An integrated cell, tissue and whole organ profile of kidney morphogenesis
Combes, Alexander, Lefevre, James, Short, Kieran, Ju, Adler, Georgas, Kylie, Lamberton, Timothy, Cairncross, Oliver, Rumballe, Bree, McMahon, Andrew, Little, Melissa, Hamilton, Nicholas and Smyth, Ian (2017). An integrated cell, tissue and whole organ profile of kidney morphogenesis. In: 18th International Congress of Developmental Biology, Singapore Singapore, (S152-S153). Jun 18-22, 2017. doi:10.1016/j.mod.2017.04.432
Budnar, S., Gomez, G., Naghibosidat, M., Wee, K., Gupta, S., Kambe, H., Verma, S., Hamilton, N., Neufeld, Z. and Yap, A. S. (2017). Anillin dependent stabilization of Rho signaling at adherens junctions influences cell extrusion and collective cell migration. In: ASCB/EMBO Meeting, Philadelphia Pa United States, (). 2-6 December 2017.
Patterning Rho signaling at the epithelial Zonula Adherens: a tale of feedback loops
Priya, R., Gomez, G. A., Budnar, S., Verma, S., Hamilton, N. A. and Yap, A. S. (2015). Patterning Rho signaling at the epithelial Zonula Adherens: a tale of feedback loops. In: Molecular Biology of the Cell. 2015 Cell Biology ASCB Annual Meeting, San Diego CA, United States, (). 12-16 December 2015.
Disruption of cortical tension patterning drives the outgrowth of oncogenic cells
Wu, S., Gomez, G. A., Michael, M., Verma, S., Cox, H., Lefevre, J. G., Parton, R. G., Hamilton, N. A. and Yap, A. S. (2014). Disruption of cortical tension patterning drives the outgrowth of oncogenic cells. In: EACR-23: 23rd Biennial Congress of the European Association for Cancer Research, Munich, Germany, (S67-S67). 5-8 July 2014. doi:10.1016/S0959-8049(14)50251-1
Parkinson's Disease Causing Mutations Alters Retromer's Function
Follett, J., Norwood, S., Hamilton, N., Collins, B., Bugarcic, A. and Teasdale, R. D. (2014). Parkinson's Disease Causing Mutations Alters Retromer's Function. In: ASCB Annual Meeting Abstracts. ASCB/IFCB Meeting, Philadelphia, PA United States, (). 06 - 10 December 2014.
An Integrated Cell, Tissue and Whole Organ Profile of Kidney Morphogenesis
Combes, A., Short, K., Lefevre, J., Ju, A., Georgas, K., Rumballe, B., Mcmahon, A., Hamilton, N., Smyth, I. and Little, M. (2013). An Integrated Cell, Tissue and Whole Organ Profile of Kidney Morphogenesis. In: 49th Annual Scientific Meeting of the Australian and New Zealand Society of Nephrology, Brisbane Australia, (24-24). 9-11 September 2013. doi:10.1111/nep.12121
Linear models for endocytic transformations from live cell imaging
Belward, John A., Burrage, Kevin, Teasdale, Rohan D. and Hamilton, Nicholas A. (2011). Linear models for endocytic transformations from live cell imaging. In: William McLean and Tony Roberts, Proceedings of the 15th Computational Techniques and Applications Conference. CTAC2010 : 15th Biennial Computational Techniques and Applications Conference, Univeristy of New South Wales, Sydney, Australia, (C156-C171). 28 November - 1 December 2010. doi:10.0000/anziamj.v52i0.3801
Bustamam, Alhadi, Burrage, Kevin and Hamilton, Nicholas A. (2010). A GPU implementation of fast parallel Markov clustering in Bioinformatics using ELLPACK-R sparse data format. In: Juan E. Guerrero, Proceedings of the 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies. ACT 2010, Jakarta, Indonesia, (173-175). 2 - 3 December, 2010. doi:10.1109/ACT.2010.10
Bustamam, Alhadi, Burrage, Kevin and Hamilton, Nicholas A. (2010). Fast parallel Markov clustering in bioinformatics using massively parallel graphics processing unit computing. In: Joint PDMC+HiBi Workshop 2010: 2010 Ninth International Workshop on Parallel and Distributed Methods in Verification; and Second International Workshop on High Performance Computational Systems Biology. Proceedings. Joint PDMC/HiBi Workshop 2010: International Workshop on High Performance Computational Systems Biology (2nd, HiBi, 2010); International Workshop on Parallel and Distributed Methods in Verification (9th, PDMC, 2010), Enschede, Netherlands, (116-125). 30 September-1 October 2010. doi:10.1109/PDMC-HiBi.2010.23
Bustamam, A., Sehgal, M. S., Hamilton, N. A., Wong, S., Ragan, M. A. and Burrage, K (2009). An efficient parallel implementation of Markov clustering algorithm for large-scale protein-protein interaction networks that uses MPI. In: I. M. Arnawa, M. Muhafzan and S. Bahri, Proceedings of the 5th IMT-GT international conference on mathematics, statistics and their applications 2009 (ICMSA 2009). 5th IMT-GT international conference on mathematics, statistics and their applications, Bukittinggi, Indonesia, (94-101). 9 -11 June 2009.
Automated subcellar phenotype classification : An introduction and recent results
Hamilton, A, Pantelic, S, Hanson,, Fink, L, Karunaratne, M and Teasdale, R D (2006). Automated subcellar phenotype classification : An introduction and recent results. In: Mikael Boden and Timothy Bailey, Conferences in research and practice in information technology online. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006). 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia, (67-72). 4/12/2006.
Protein contact prediction using patterns of correlation
Hamilton, N., Burrage, K., Ragan, M. A. and Huber, T. (2004). Protein contact prediction using patterns of correlation. In: 29th Lorne Protein Conference. 29th Annual Lorne Conference on Protein Structure and Function, Lorne, Victoria, (). 8-12 February 2004.
A complete formal development using Cogito
Hamilton, N, Hazel, D, Kearney, P, Traynor, O and Wildman, L (1998). A complete formal development using Cogito. In: McDonald, C, Proceedings of the 21st Australasian Computer Science Conference, Acsc'98. 21st Australasian Computer Science Conference (ACSC 98), Perth Australia, (319-330). Feb 04-06, 1998.
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2017): Supplementary Figure 1, (e) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. Dataset. doi:10.14264/uql.2017.280
Rashmi Priya, Gomez, Guillermo, Budnar, Srikanth, Verma, Suzie, Hayley Cox, Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Data collection for 'Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.". The University of Queensland, Macmillan Publishing. Collection.
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (a) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.278
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (c) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.277
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (d) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions. The University of Queensland. Dataset. doi:10.14264/uql.2017.279
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (f) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions. The University of Queensland. Dataset. doi:10.14264/uql.2017.281
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (g) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.282
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (h) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.283
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (i) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.284
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (j) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.285
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (k) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.286
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (l) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.287
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 1, (m) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.288
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (a) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.289
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (b) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.290
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (c) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.291
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (d) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.292
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (e) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.293
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (f) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.294
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (g) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.295
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (h) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.296
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (i) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.297
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (j) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.298
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (k) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.299
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2016): Supplementary Figure 2, (l) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.300
Priya, Rashmi, Gomez, Guillermo A, Budnar, Srikanth, Verma, Suzie, Cox, Hayley L, Hamilton, Nicholas A and Yap, Alpha S.K. (2016): Supplementary Figure 2, (m) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.301
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 3, (a) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.325
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 3, (b) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.302
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 3, (c) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.303
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 3, (d) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.304
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 3, (e) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.305
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (a) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.306
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (b) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.307
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (c) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.308
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (d) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.309
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (e) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.310
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (f) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.311
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (g) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.312
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (h) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.313
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 4, (i) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.314
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (a) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.323
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (b) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.315
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (c) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.316
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (d) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.317
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (e) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.318
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (f) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.319
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (g) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.320
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (h) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.321
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (i) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.322
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S. K. (2016): Supplementary Figure 5, (j) of the paper Feedback regulation through myosin II confers robustness on RhoA signalling at E-cadherin junctions.. The University of Queensland. Dataset. doi:10.14264/uql.2017.324
Priya, Rashmi, Gomez, Guillermo A., Budnar, Srikanth, Verma, Suzie, Cox, Hayley L., Hamilton, Nicholas A. and Yap, Alpha S.K. (2015): Network interactions allowing myosin II to feedback to RhoA: sequencing, predictive modelling, and experimentation. Macmillan Publishers. Dataset. doi:10.14264/uql.2016.825
Machine learning for organelle selection and feature detection in live cells
(2018–2020) ARC Discovery Projects
Molecular characterisation of transverse tubule development in skeletal muscle
(2016–2019) NHMRC Project Grant
(2016–2018) Monash University
(2015–2016) Murdoch Childrens Research Institute
(2014–2016) ARC Linkage Projects
Understanding the regulation of kidney morphogenesis in order to improve renal development
(2014) NHMRC Project Grant
(2013–2015) Monash University
Exploring the genetic origin of a protein hijack event in daisies with next-generation sequencing
(2012) UWA-UQ Bilateral Research Collaboration Award
Modelling the regulation of nephron number by the renal stem cell niche
(2011–2013) NHMRC Project Grant
Membrane fusion in macrophage function.
(2010–2013) NHMRC Project Grant
The primary cilium in hedgehog signalling and disease
(2010–2013) NHMRC Project Grant
Maximal Arcs, partial geometries and associated designs
(1997–2000) ARC Australian Postdoctoral Research Fellowship
Deep learning methodologies for assistive diagnosis in skin cancer imaging
Doctor Philosophy — Principal Advisor
Other advisors:
Dynamics of SOX18 protein-protein interactions during the transcriptional control of endothelial cell differentiation
Doctor Philosophy — Associate Advisor
Other advisors:
Modelling statics networks in bioinformatics applications using advanced computing.
(2011) Doctor Philosophy — Associate Advisor
Computational methods to define the endosomal proteome
(2010) Doctor Philosophy — Associate Advisor
Other advisors:
(2008) Doctor Philosophy — Associate Advisor
Other advisors: