Stekel, Dov - University of Nottingham

个人简介

I am Associate Professor of Integrative Systems Biology at the Multidisciplinary Centre for Integrative Biology, School of Biosciences, University of Nottingham. I studied mathematics at Trinity College, Cambridge and for a D.Phil. at theDepartment of Zoology, University of Oxford, supervised by Martin Nowak. My D.Phil. topic was on mathematical modeling of T lymphocyte recirculation and virus dynamics. Following my D.Phil., I worked briefly with Boris Vojnovic at the Gray Laboratory, before taking a position in the Bioinformatics group at Glaxo Wellcome Research and Development(as it was), and then as Head of Bioinformatics at Ed Southern's microarray company, Oxford Gene Technology. I left OGT after receiving a commission from Cambridge University Press to write Microarray Bioinformatics, and worked as a free-lance bioinformatics consultant during that time. In 2004 I took the position as Lecturer in Bioinformatics at theSchool of Biosciences, University of Birmingham and in 2009 moved to the University of Nottingham to take my current post.

近期论文

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IBRAHIM, DELVEEN R, DODD, CHRISTINE E R, STEKEL, DOV J, RAMSDEN, STEPHEN J and HOBMAN, JON L, 2016. Multidrug resistant, extended spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from a dairy farm. FEMS microbiology ecology. 92(4), BAKER, MICHELLE, HOBMAN, JON L, DODD, CHRISTINE E R, RAMSDEN, STEPHEN J and STEKEL, DOV J, 2016. Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate. FEMS microbiology ecology. 92(4), DIANE LEVINE and DOV STEKEL, 2016. So why have you added me? Adolescent girls’ technology-mediated attachments and relationships Computers in Human Behaviour. 63, 25–34 MATTHIAS GERSTGRASSER, SARAH NICHOLLS, MICHAEL STOUT, KATHERINE SMART, CHRIS POWELL, THEODORE KYPRAIOS and DOV STEKEL, 2016. A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters Read More: http://www.worldscientific.com/doi/abs/10.1142/S0219720016500074 Journal of Bioinformatics and Computational Biology. 14(3), 1650007 TAKAHASHI H, OSHIMA T, HOBMAN JL, DOHERTY N, CLAYTON SR, IQBAL M, HILL PJ, TOBE T, OGASAWARA N, KANAYA S and STEKEL DJ, 2015. The dynamic balance of import and export of zinc in Escherichia coli suggests a heterogeneous population response to stress. Journal of the Royal Society, Interface / the Royal Society. 12(106), HAOULA Z, RAVIPATI S, STEKEL DJ, ORTORI CA, HODGMAN C, DAYKIN C, RAINE-FENNING N, BARRETT DA and ATIOMO W, 2015. Lipidomic analysis of plasma samples from women with polycystic ovary syndrome. Metabolomics : Official journal of the Metabolomic Society. 11(3), 657-666 SWAN AL, STEKEL DJ, HODGMAN C, ALLAWAY D, ALQAHTANI MH, MOBASHERI A and BACARDIT J, 2015. A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data. BMC genomics. 16 Suppl 1, S2 GERSTGRASSER, MATTHIAS, NICHOLLS, SARAH, STOUT, MICHAEL, SMART, KATHERINE, POWELL, CHRIS, KYPRAIOS, THEODORE and STEKEL, DOV, 2015. A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. J Bioinform Comput Biol. 1650007 IQBAL, M., HODGMAN, T.C. and STEKEL, D.J., 2014. Computational prediction of domain-domain interactions: Factor- graph based modelling and inference Current Chemical Biology. 7, 234-240 FLETCHER SJ, IQBAL M, JABBARI S, STEKEL D and RAPPOPORT JZ, 2014. Analysis of occludin trafficking, demonstrating continuous endocytosis, degradation, recycling and biosynthetic secretory trafficking. PloS one. 9(11), e111176 GIBBS DJ, VO? U, HARDING SA, FANNON J, MOODY LA, YAMADA E, SWARUP K, NIBAU C, BASSEL GW, CHOUDHARY A, LAVENUS J, BRADSHAW SJ, STEKEL DJ, BENNETT MJ and COATES JC, 2014. AtMYB93 is a novel negative regulator of lateral root development in Arabidopsis. The New phytologist. 203(4), 1194-207 YANG, J, OSMAN, K, IQBAL M, STEKEL, DJ, LUO, Z, ARMSTRONG, SJ and FRANKLIN, FCH, 2013. Inferring the Brassica rapa Interactome Using Protein-Protein Interaction Data from Arabidopsis thaliana. Frontiers in Plant Sciences. 3, 297 SALAMA, R.A. and STEKEL, D.J., 2013. A non-independent energy based multiple sequence alignment improves prediction of transcription factor binding sites Bioinformatics. 29(21), 2699-2704 STEKEL DJ and JENKINS DJ, 2012. Evolution of resource and energy management in biologically realistic gene regulatory network models. Advances in experimental medicine and biology. 751, 301-28 HERMAN, D., THOMAS, C.M. and STEKEL, D.J., 2012. Adaptation for protein synthesis efficiency in a naturally occurring self-regulating operon PLoS ONE. 7(11), e49678 HERBERT JMJ, STEKEL DJ, MURA M, SYCHEV M and BICKNELL R, 2011. Bioinformatic Methods For Finding Differentially Expressed Genes In Cdna Libraries, Applied To The Identification Of Tumour Vascular Targets. Methods In Molecular Biology (Clifton, N.J.). 729, 99-119 HERMAN D, THOMAS CM and STEKEL DJ, 2011. Global Transcription Regulation Of Rk2 Plasmids: A Case Study In The Combined Use Of Dynamical Mathematical Models And Statistical Inference For Integration Of Experimental Data And Hypothesis Exploration. Bmc Systems Biology. 5, 119 JENKINS, DAFYD J and STEKEL, DOV J, 2010. De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms. Journal of molecular evolution. 71, 128-140 GASSON, P., MILLER, R., STEKEL, D.J, WHINDER, F. and ZIEMINSKA, Z., 2010. Wood identification of Dalbergia nigra (CITES Appendix I) using quantitative wood anatomy, principal components analysis and naive Bayes classification. Annals of botany. 105(1), 45-56 SALAMA, RAFIK A and STEKEL, DOV J, 2010. Inclusion of neighboring base interdependencies substantially improves genome-wide prokaryotic transcription factor binding site prediction. Nucleic acids research. 38(12), e135 JENKINS, DAFYD J and STEKEL, DOV J, 2010. Stochasticity Versus Determinism: Consequences for Realistic Gene Regulatory Network Modelling and Evolution. Journal of molecular evolution. 70, 215-231 FERNANDO, CHRISANTHA T, GOLDSTEIN, RICHARD A, HUSBANDS, PHIL and STEKEL, DOV J, 2010. In silico biology. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 477-80 JENKINS, DAFYD J and STEKEL, DOV J, 2009. A new model for investigating the evolution of transcription control networks. Artificial Life. 15(3), 259-91 LEADBEATER, BARRY S C, YU, QIBIN, KENT, JOYCE and STEKEL, DOV J, 2009. Three-dimensional images of choanoflagellate loricae. Proceedings of the Royal Society B: Biological Sciences. 276(1654), 3-11 WELHAM, P.A. and STEKEL, D.J., 2009. Mathematical model of the Lux luminescence system in the terrestrial bacterium Photorhabdus luminescens. Molecular BioSystems. 5(1), 68-76