Dov Stekel

Contact

• workRoom B19 Food Science
  Sutton Bonington Campus
  Sutton Bonington
  Leicestershire
  LE12 5RD
  UK
• work0115 951 6294
• dov.stekel@nottingham.ac.uk
• http://dovlab.wordpress.com

Biography

I am Professor of computational Biology at the School of Biosciences, University of Nottingham. I have been working at the University of Nottingham since 2009, when I was appointed as Associate Professor, and have been Professor since 2018. Before working at the University of Nottingham, I spent five years at the University of Birmingham as Lecturer in Bioinformatics. I studied mathematics at Trinity College, Cambridge and for a D.Phil. at the Department 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.

Teaching Summary

I teach on a range of modules associated with mathematical and computer modelling in the biological and environmental sciences. Specifically:

• Computer Modelling in Science: Introduction (D224E4) - Year 2
• Computer Modelling in Science: Applications (C135E9) - Year 3
• Project Management - MSci year

Research Summary

We use mathematical, computing and statistical techniques to build predictive models for biological systems. There are three main areas of activity:

• Antimicrobial resistance. We use mathematical and computer models at both molecular and population levels to study mechanisms for, and spread of, antimicrobial resistance, under the One Health Paradigm. Current work is focussed on the emergence of antimicrobial resistance in the environment, especially in agriculture and the food chain. Past work has included modelling plasmid regulation, and models for molecular mechanisms for antimicrobial metals, including zinc and mercury. We have also carried out in silico evolution of gene network responses to antimicrobial agents.
• Resilience. We are also interested in using mathematical and computing techniques to describe and understand resilience, and factors that enable resilience. This is in varied domains, including funded work with Unilever on resilience of the oral microbiome, and Wellcome Trust funded work with the University of Pretoria and others on resilience in young people not in education, employment or training.
• Quantitative bioinformatics. We retain an interest in using statistical and machine learning techniques as applied to large scale quantitative data sets from Omics technologies, including transcriptomics, proteomics and metabolomics.

We try, where possible, to work on projects with active collaborations with experimental biologists. While our main focus is on microbiology, we are happy to foster collaborations with scientists working in any area of biology, and this range is reflected in our publications.

Selected Publications

• SHAW, LAURENCE M., BLANCHARD, ADAM, CHEN, QINGLIN, AN, XINLI, DAVIES, PEERS, TOTEMEYER, SABINE, ZHU, YONG-GUAN and STEKEL, DOV J., 2019. DirtyGenes: testing for significant changes in gene or bacterial population compositions from a small number of samples SCIENTIFIC REPORTS. 9,
• STEKEL, DOV, 2018. Antibiotic resistance pre-dates penicillin NATURE. 562(7726), 192-192
• ZHU, YONG-GUAN, GILLINGS, MICHAEL, SIMONET, PASCAL, STEKEL, DOV, BANWART, STEVEN and PENUELAS, JOSEP, 2018. Human dissemination of genes and microorganisms in Earth's Critical Zone GLOBAL CHANGE BIOLOGY. 24(4), 1488-1499
• ZHU, YONG-GUAN, GILLINGS, MICHAEL, SIMONET, PASCAL, STEKEL, DOV, BANWART, STEVE and PENUELAS, JOSEP, 2017. Microbial mass movements SCIENCE. 357(6356), 1099-1100

• View all publications

• TODMAN, H., HELLIWELL, R., KING, L., BLANCHARD, A., GRAY-HAMMERTON, C. J., HOOTON, S. P., BAKER, M., MARGERISON, J., WILSON, P., DODD, C. E. R., MORRIS, C., RAMAN, S., HUDSON, C., KREFT, J. U., HOBMAN, J. L., KYPRAIOS, T. and STEKEL, D. J., 2024. Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms: NPJ Antimicrob Resist NPJ Antimicrob Resist. 2(1), 13
• FLATGARD, B. M., WILLIAMS, A. D., AMIN, M. B., HOBMAN, J. L., STEKEL, D. J., ROUSHAM, E. K. and ISLAM, M. A., 2024. Tracking antimicrobial resistance transmission in urban and rural communities in Bangladesh: a One Health study of genomic diversity of ESBL-producing and carbapenem-resistant Escherichia coli: Microbiol Spectr Microbiol Spectr. 12(6), e0395623
• COCKX, B. J. R., FOSTER, T., CLEGG, R. J., ALDEN, K., ARYA, S., STEKEL, D. J., SMETS, B. F. and KREFT, J. U., 2024. Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0: PLoS Comput Biol PLoS Comput Biol. 20(2), e1011303
• COOK, R., BROWN, N., RIHTMAN, B., MICHNIEWSKI, S., REDGWELL, T., CLOKIE, M., STEKEL, D. J., CHEN, Y., SCANLAN, D. J., HOBMAN, J. L., NELSON, A., JONES, M. A., SMITH, D. and MILLARD, A., 2024. The long and short of it: benchmarking viromics using Illumina, Nanopore and PacBio sequencing technologies: Microb Genom Microb Genom. 10(2),
• ARNOLD, K. E., LAING, G., MCMAHON, B. J., FANNING, S., STEKEL, D. J., PAHL, O., COYNE, L., LATHAM, S. M. and MCINTYRE, K. M., 2024. The need for One Health systems-thinking approaches to understand multiscale dissemination of antimicrobial resistance: Lancet Planet Health Lancet Planet Health. 8(2), e124-e133
• TODMAN, H., ARYA, S., BAKER, M. and STEKEL, D. J., 2023. A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment: PLoS One PLoS One. 18(8), e0289941
• WEIDMAN, S., LEVINE, D. T., LOUWAGIE, F., BLACKMORE, K., THERON, L. C. and STEKEL, D. J., 2023. The role of multisystemic resilience in fostering critical agency: UK adolescents during the COVID-19 Pandemic: Curr Psychol Curr Psychol. 1-15
• IBRAHIM, D. R., DODD, C. E. R., STEKEL, D. J., MESHIOYE, R. T., DIGGLE, M., LISTER, M. and HOBMAN, J. L., 2023. Multidrug-Resistant ESBL-Producing E. coli in Clinical Samples from the UK: Antibiotics (Basel) Antibiotics (Basel). 12(1),
• COOK, R., BROWN, N., REDGWELL, T., RIHTMAN, B., BARNES, M., CLOKIE, M., STEKEL, D. J., HOBMAN, J., JONES, M. A. and MILLARD, A., 2021. INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomes: Phage (New Rochelle) Phage (New Rochelle). 2(4), 214-223
• HASSOUN-KHEIR, N., STABHOLZ, Y., KREFT, J. U., DE LA CRUZ, R., DECHESNE, A., SMETS, B. F., ROMALDE, J. L., LEMA, A., BALBOA, S., GARCIA-RIESTRA, C., TORRES-SANGIAO, E., NEUBERGER, A., GRAHAM, D., QUINTELA-BALUJA, M., STEKEL, D. J., GRAHAM, J., PRUDEN, A., NESME, J., SORENSEN, S. J., HOUGH, R. and PAUL, M., 2021. EMBRACE-WATERS statement: Recommendations for reporting of studies on antimicrobial resistance in wastewater and related aquatic environments: One Health One Health. 13, 100339
• HOOTON, S. P. T., PRITCHARD, A. C. W., ASIANI, K., GRAY-HAMMERTON, C. J., STEKEL, D. J., CROSSMAN, L. C., MILLARD, A. D. and HOBMAN, J. L., 2021. Laboratory Stock Variants of the Archetype Silver Resistance Plasmid pMG101 Demonstrate Plasmid Fusion, Loss of Transmissibility, and Transposition of Tn7/pco/sil Into the Host Chromosome: Front Microbiol Front Microbiol. 12, 723322
• SHAW, LAURENCE M., BLANCHARD, ADAM, CHEN, QINGLIN, AN, XINLI, DAVIES, PEERS, TOTEMEYER, SABINE, ZHU, YONG-GUAN and STEKEL, DOV J., 2019. DirtyGenes: testing for significant changes in gene or bacterial population compositions from a small number of samples SCIENTIFIC REPORTS. 9,
• WILLIAMS, ORLA, CLARK, IAN, GOMES, RACHEL L., PEREHINEC, TANIA, HOBMAN, JON L., STEKEL, DOV J., HYDE, ROBERT, DODDS, CHRIS and LESTER, EDWARD, 2019. Removal of copper from cattle footbath wastewater with layered double hydroxide adsorbents as a route to antimicrobial resistance mitigation on dairy farms SCIENCE OF THE TOTAL ENVIRONMENT. 655, 1139-1149
• KNIGHT, G. M., DAVIES, N. G., COLIJN, C., COLL, F., DONKER, T., GIFFORD, D. R., GLOVER, R. E., JIT, M., KLEMM, E., LEHTINEN, S., LINDSAY, J. A., LIPSITCH, M., LLEWELYN, M. J., MATEUS, A. L. P., ROBOTHAM, J. V., SHARLAND, M., STEKEL, D., YAKOB, L. and ATKINS, K. E., 2019. Mathematical modelling for antibiotic resistance control policy: do we know enough?: BMC Infect Dis BMC Infect Dis. 19(1), 1011
• SHAW, L. M., BLANCHARD, A., CHEN, Q., AN, X., DAVIES, P., TOTEMEYER, S., ZHU, Y. G. and STEKEL, D. J., 2019. DirtyGenes: testing for significant changes in gene or bacterial population compositions from a small number of samples: Sci Rep Sci Rep. 9(1), 2373
• ISHAN AJMERA, JING SHI, JITENDER GIRI, PING WU, DOV J. STEKEL, CHUNGUI LU and CHARLIE HODGMAN, 2018. Regulatory feedback response mechanisms to phosphate starvation in rice npj Systems Biology and Applications. 4(4), 8
• WILLIAMS O, CLARK I, GOMES RL, PEREHINEC T, HOBMAN JL, STEKEL DJ, HYDE R, DODDS C and LESTER E, 2018. Removal of copper from cattle footbath wastewater with layered double hydroxide adsorbents as a route to antimicrobial resistance mitigation on dairy farms. The Science of the total environment. 655, 1139-1149
• STEKEL, DOV, 2018. Antibiotic resistance pre-dates penicillin NATURE. 562(7726), 192-192
• SAKARIDIS, IOANNIS, ELLIS, RICHARD J, CAWTHRAW, SHAUN A, VAN VLIET, ARNOUD HM, STEKEL, DOV J, PENELL, JOHANNA, CHAMBERS, MARK, LA RAGIONE, ROBERTO M and COOK, ALASDAIR J, 2018. Table_1_Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden.DOCX Figshare.
• SAKARIDIS, IOANNIS, ELLIS, RICHARD J., CAWTHRAW, SHAUN A., VAN VLIET, ARNOUD H. M., STEKEL, DOV J., PENELL, JOHANNA, CHAMBERS, MARK, LA RAGIONE, ROBERTO M. and COOK, ALASDAIR J., 2018. Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden FRONTIERS IN MICROBIOLOGY. 9,
• ZHU, YONG-GUAN, GILLINGS, MICHAEL, SIMONET, PASCAL, STEKEL, DOV, BANWART, STEVEN and PENUELAS, JOSEP, 2018. Human dissemination of genes and microorganisms in Earth's Critical Zone GLOBAL CHANGE BIOLOGY. 24(4), 1488-1499
• AJMERA, ISHAN, SHI, JING, GIRI, JITENDER, WU, PING, STEKEL, DOV J., LU, CHUNGUI and HODGMAN, T. CHARLIE, 2018. Regulatory feedback response mechanisms to phosphate starvation in rice NPJ SYSTEMS BIOLOGY AND APPLICATIONS. 4,
• STEKEL, D., 2018. First report of antimicrobial resistance pre-dates penicillin: Nature Nature. 562(7726), 192
• SAKARIDIS, I., ELLIS, R. J., CAWTHRAW, S. A., VAN VLIET, A. H. M., STEKEL, D. J., PENELL, J., CHAMBERS, M., LA RAGIONE, R. M. and COOK, A. J., 2018. Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden: Front Microbiol Front Microbiol. 9, 927
• ZHU, Y. G., GILLINGS, M., SIMONET, P., STEKEL, D., BANWART, S. and PENUELAS, J., 2018. Human dissemination of genes and microorganisms in Earth's Critical Zone: Glob Chang Biol Glob Chang Biol. 24(4), 1488-1499
• PAL C, ASIANI K, ARYA S, RENSING C, STEKEL DJ, LARSSON DGJ and HOBMAN JL, 2017. Metal Resistance and Its Association With Antibiotic Resistance. Advances in Microbial Physiology. 70, 261-313
• MUDASSAR IQBAL, NEIL DOHERTY, ANNA PAGE, SAARA QAZI, ISHAN AJMERA, PETER LUND, THEODORE KYPRAIOS, DAVID SCOTT, PHILIP HILL and DOV STEKEL, 2017. Reconstructing promoter activity from Lux bioluminescent reporters PLoS Computational Biology. in press(in press), in press (In Press.)
• IQBAL, MUDASSAR, DOHERTY, NEIL, PAGE, ANNA M. L., QAZI, SAARA N. A., AJMERA, ISHAN, LUND, PETER A., KYPRAIOS, THEODORE, SCOTT, DAVID J., HILL, PHILIP J. and STEKEL, DOV J., 2017. Reconstructing promoter activity from Lux bioluminescent reporters PLOS COMPUTATIONAL BIOLOGY. 13(9),
• ZHU, YONG-GUAN, GILLINGS, MICHAEL, SIMONET, PASCAL, STEKEL, DOV, BANWART, STEVE and PENUELAS, JOSEP, 2017. Microbial mass movements SCIENCE. 357(6356), 1099-1100
• PAL, CHANDAN, ASIANI, KARISHMA, ARYA, SANKALP, RENSING, CHRISTOPHER, STEKEL, DOV J., LARSSON, D. G. JOAKIM and HOBMAN, JON L., 2017. Metal Resistance and Its Association With Antibiotic Resistance MICROBIOLOGY OF METAL IONS. 70, 261-313
• ZHU, Y. G., GILLINGS, M., SIMONET, P., STEKEL, D., BANWART, S. and PENUELAS, J., 2017. Microbial mass movements: Science Science. 357(6356), 1099-1100
• 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
• 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),
• GERSTGRASSER, M., NICHOLLS, S., STOUT, M., SMART, K., POWELL, C., KYPRAIOS, T. and STEKEL, D, 2016. A bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. Journal of Bioinformatics and Computational Biology. 14, 1-23
• LEVINE, DIANE T. and STEKEL, DOV J., 2016. So why have you added me? Adolescent girls' technology-mediated attachments and relationships COMPUTERS IN HUMAN BEHAVIOR. 63, 25-34
• GERSTGRASSER, MATTHIAS, NICHOLLS, SARAH, STOUT, MICHAEL, SMART, KATHERINE, POWELL, CHRIS, KYPRAIOS, THEODORE and STEKEL, DOV, 2016. A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY. 14(3),
• 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
• HAOULA, ZEINA, RAVIPATI, SRINIVASARAO, STEKEL, DOV J., ORTORI, CATHARINE A., HODGMAN, CHARLIE, DAYKIN, CLARE, RAINE-FENNING, NICK, BARRETT, DAVID A. and ATIOMO, WILLIAM, 2015. Lipidomic analysis of plasma samples from women with polycystic ovary syndrome METABOLOMICS. 11(3), 657-666
• 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, VOß 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
• MA, H., HAGEN, F., STEKEL, D.J., JOHNSTON, S.A., SIONOV, E., FALK, R., POLACHECK, I., BOEKHOUT, T. and MAY, ROBIN C, 2009. The fatal fungal outbreak on Vancouver Island is characterized by enhanced intracellular parasitism driven by mitochondrial regulation PNAS: Proceedings of the National Academy of Sciences of the United States of America. 106(31), 12980-12985
• CHAUDHURI, ROY R, PETERS, SARAH E, PLEASANCE, STEPHEN J, NORTHEN, HELEN, WILLERS, CHRISSIE, PATERSON, GAVIN K, CONE, DANIELLE B, ALLEN, ANDREW G, OWEN, PAUL J, SHALOM, GIL, STEKEL, DOV J and CHARLES, IAN, 2009. Comprehensive identification of Salmonella enterica serovar typhimurium genes required for infection of BALB/c mice. PLoS pathogens. 5(7), e1000529
• FERNANDO, CHRISANTHA T, LIEKENS, ANTHONY M L, BINGLE, LEWIS E H, BECK, CHRISTIAN, LENSER, THORSTEN, STEKEL, DOV J and ROWE, JONATHAN E, 2009. Molecular circuits for associative learning in single-celled organisms. Journal Of The Royal Society Interface. 6(34), 463-9
• CHAUDHURI, R. R., LOMAN, N. J., SNYDER, L. A., BAILEY, C. M., STEKEL, D. J. and PALLEN, M. J., 2008. xBASE2: a comprehensive resource for comparative bacterial genomics. VOL 36(SUPP/1), D543-D546
• STEKEL, D.J. and JENKINS, D.J., 2008. Strong negative self regulation of prokaryotic transcription factors increases the intrinsic noise of protein expression BMC Systems Biology. 2, 6
• HERBERT, JOHN M J, STEKEL, DOV, SANDERSON, SHARON, HEATH, VICTORIA L and BICKNELL, ROY, 2008. A novel method of differential gene expression analysis using multiple cDNA libraries applied to the identification of tumour endothelial genes. BMC Genomics. 9, 153
• JENKINS, D.J. AND STEKEL. D.J., 2008. Effects of signalling on the evolution of gene regulatory networks In: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems. 289-296
• BOWLES, EMMA J, LEE, JOON-HEE, ALBERIO, RAMIRO, LLOYD, RHIANNON E I, STEKEL, DOV, CAMPBELL, KEITH H S and ST JOHN, JUSTIN C, 2007. Contrasting effects of in vitro fertilization and nuclear transfer on the expression of mtDNA replication factors. Genetics. 176(3), 1511-26
• JONES, B, STEKEL, D.J, ROWE, J and FERNANDO, C.T., 2007. Is there a Liquid State Machine in the Bacterium Escherichia Coli? In: Proceedings of IEEE Symposium on Artificial Life. 187-191
• STEKEL, DOV J, SARTI, DONATELLA, TREVINO, VICTOR, ZHANG, LIHONG, SALMON, MIKE, BUCKLEY, CHRIS D, STEVENS, MARK, PALLEN, MARK J, PENN, CHARLES and FALCIANI, FRANCESCO, 2005. Analysis of host response to bacterial infection using error model based gene expression microarray experiments. Nucleic Acids Research. 33(6), e53
• STEKEL, D.J., 2003. Microarray Bioinformatics Cambridge University Press.
• STEKEL, D J, GIT, Y and FALCIANI, F, 2000. The comparison of gene expression from multiple cDNA libraries. Genome Research. 10(12), 2055-61
• SCHETTINO, G, FOLKARD, M, VOJNOVIC, B, MICHETTE, A.G, STEKEL, D.J, PFAUNTCSH, S.K and PRISE, K.M. AND MICHAEL, B.D., 2000. The ultrasoft X-ray microbeam: a sub-cellular probe of radiation response Radiation Research. 153, 222-225
• STEKEL, D J, 1998. The simulation of density-dependent effects in the recirculation of T lymphocytes. Scandinavian journal of immunology. 47(5), 426-30
• STEKEL, D J, PARKER, C E and NOWAK, M A, 1997. A model of lymphocyte recirculation. Immunology Today. 18(5), 216-21
• MAY, R M, STEKEL, D J and NOWAK, M A, 1997. Antigenic diversity thresholds and hazard functions. Mathematical Biosciences. 139(1), 59-68
• STEKEL, D J, 1997. The role of inter-cellular adhesion in the recirculation of T lymphocytes. Journal of Theoretical Biology. 186(4), 491-501
• RASHBASS, J, STEKEL, D and WILLIAMS, E D, 1996. The use of a computer model to simulate epithelial pathologies. Journal of Pathology. 179(3), 333-9
• STEKEL, D J, NOWAK, M A and SOUTHWOOD, T R, 1996. Prediction of future BSE spread. Nature. 381(6578), 119
• STEKEL, D, RASHBASS, J and WILLIAMS, E D, 1995. A computer graphic simulation of squamous epithelium. Journal of Theoretical Biology. 175(3), 283-93