Douglas B Kell

Summary

Affiliation: University of Manchester Institute of Science and Technology
Country: UK

Publications

  1. ncbi Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era
    Douglas B Kell
    Department of Chemistry, UMIST, Manchester, UK
    Bioessays 26:99-105. 2004
  2. pmc Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry
    Naheed N Kaderbhai
    Institute of Biological Sciences, University of Wales, Aberystwyth, Wales Ceredigion SY23 3DD, UK
    Comp Funct Genomics 4:376-91. 2003
  3. pmc Comparative genomic assessment of novel broad-spectrum targets for antibacterial drugs
    Thomas A White
    Department of Biology, University of York, Heslington, York YO10 5YW, UK
    Comp Funct Genomics 5:304-27. 2004
  4. ncbi Metabolomics and systems biology: making sense of the soup
    Douglas B Kell
    Department of Chemistry, UMIST, Faraday Building, Sackville St, PO Box 88, Manchester M60 1QD, UK
    Curr Opin Microbiol 7:296-307. 2004
  5. ncbi Genotype-phenotype mapping: genes as computer programs
    Douglas B Kell
    Dept of Chemistry, UMIST, Manchester, UK
    Trends Genet 18:555-9. 2002
  6. pmc Genome-wide assessment of the carriers involved in the cellular uptake of drugs: a model system in yeast
    Karin Lanthaler
    School of Chemistry, University of Manchester, Manchester, UK
    BMC Biol 9:70. 2011
  7. pmc Information management for high content live cell imaging
    Daniel Jameson
    Manchester Centre for Integrative Systems Biology, School of Chemistry, and Manchester Interdisciplinary Biocentre, University of Manchester, 131, Princess St, Manchester, M1 7DN, UK
    BMC Bioinformatics 10:226. 2009
  8. pmc MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics
    Irena Spasic
    School of Chemistry, Faraday Building, The University of Manchester, Manchester, M60 1QD, UK
    BMC Bioinformatics 7:281. 2006
  9. pmc Facilitating the development of controlled vocabularies for metabolomics technologies with text mining
    Irena Spasic
    Manchester Centre for Integrative Systems Biology, The University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK
    BMC Bioinformatics 9:S5. 2008
  10. pmc Improving metabolic flux predictions using absolute gene expression data
    DAVE LEE
    Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
    BMC Syst Biol 6:73. 2012

Detail Information

Publications65

  1. ncbi Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era
    Douglas B Kell
    Department of Chemistry, UMIST, Manchester, UK
    Bioessays 26:99-105. 2004
    ..Many fields are data-rich but hypothesis-poor. Here, computational methods of data analysis, which may be automated, provide the means of generating novel hypotheses, especially in the post-genomic era...
  2. pmc Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry
    Naheed N Kaderbhai
    Institute of Biological Sciences, University of Wales, Aberystwyth, Wales Ceredigion SY23 3DD, UK
    Comp Funct Genomics 4:376-91. 2003
    ..These were determined via a genetic algorithm. Both methods are rapid, reagentless, reproducible and cheap, and might beneficially be extended to the analysis of gene knockout libraries...
  3. pmc Comparative genomic assessment of novel broad-spectrum targets for antibacterial drugs
    Thomas A White
    Department of Biology, University of York, Heslington, York YO10 5YW, UK
    Comp Funct Genomics 5:304-27. 2004
    ..The scoring strategy used might be of value in other areas of post-genomic drug discovery...
  4. ncbi Metabolomics and systems biology: making sense of the soup
    Douglas B Kell
    Department of Chemistry, UMIST, Faraday Building, Sackville St, PO Box 88, Manchester M60 1QD, UK
    Curr Opin Microbiol 7:296-307. 2004
    ....
  5. ncbi Genotype-phenotype mapping: genes as computer programs
    Douglas B Kell
    Dept of Chemistry, UMIST, Manchester, UK
    Trends Genet 18:555-9. 2002
    ..In this way, the encoding of cellular and higher-order activities by genes is seen as directly analogous to computer programs. This analogy is of utility in biological genetics and in problems of genotype-phenotype mapping...
  6. pmc Genome-wide assessment of the carriers involved in the cellular uptake of drugs: a model system in yeast
    Karin Lanthaler
    School of Chemistry, University of Manchester, Manchester, UK
    BMC Biol 9:70. 2011
    ..The recent recognition that drug uptake is mostly carrier-mediated raises the question of which drugs use which carriers...
  7. pmc Information management for high content live cell imaging
    Daniel Jameson
    Manchester Centre for Integrative Systems Biology, School of Chemistry, and Manchester Interdisciplinary Biocentre, University of Manchester, 131, Princess St, Manchester, M1 7DN, UK
    BMC Bioinformatics 10:226. 2009
    ..There is therefore a requirement for an information management solution that facilitates the indexing of experimental metadata and results of high content live cell imaging experiments...
  8. pmc MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics
    Irena Spasic
    School of Chemistry, Faraday Building, The University of Manchester, Manchester, M60 1QD, UK
    BMC Bioinformatics 7:281. 2006
    ..The metabolomic data produced need to be structured and annotated in a machine-usable form to facilitate the exploration of the hidden links between the genes and their functions...
  9. pmc Facilitating the development of controlled vocabularies for metabolomics technologies with text mining
    Irena Spasic
    Manchester Centre for Integrative Systems Biology, The University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK
    BMC Bioinformatics 9:S5. 2008
    ..However, it is time-consuming and non trivial to construct these resources manually...
  10. pmc Improving metabolic flux predictions using absolute gene expression data
    DAVE LEE
    Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
    BMC Syst Biol 6:73. 2012
    ..Moreover, for the purposes of biotechnological applications, it is normally the flux to a specific metabolite or product that is of interest rather than the rate of production of biomass per se...
  11. ncbi Multiobjective optimization in bioinformatics and computational biology
    Julia Handl
    School of Chemistry, The University of Manchester, Manchester, UK
    IEEE/ACM Trans Comput Biol Bioinform 4:279-92. 2007
    ....
  12. doi A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols
    Warwick B Dunn
    Bioanalytical Sciences Group, School of Chemistry, Manchester Interdiscplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK
    Int J Epidemiol 37:i23-30. 2008
    ....
  13. ncbi Metabolic footprinting and systems biology: the medium is the message
    Douglas B Kell
    School of Chemistry, University of Manchester, Faraday Building, PO Box 88, Sackville Street, Manchester M60 1QD, UK
    Nat Rev Microbiol 3:557-65. 2005
    ..Here, we review the principles, experimental approaches and scientific outcomes that have been obtained with this useful and convenient strategy...
  14. pmc Exploiting genomic knowledge in optimising molecular breeding programmes: algorithms from evolutionary computing
    Steve O'Hagan
    School of Chemistry, The University of Manchester, Manchester, UK
    PLoS ONE 7:e48862. 2012
    ..The non-proprietary code that we have used is made freely available (via Supplementary information)...
  15. doi Metabolic profiling of serum using Ultra Performance Liquid Chromatography and the LTQ-Orbitrap mass spectrometry system
    Warwick B Dunn
    Manchester Centre for Integrative Systems Biology, School of Chemistry, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
    J Chromatogr B Analyt Technol Biomed Life Sci 871:288-98. 2008
    ..The data were used to indicate possible biomarkers of pre-eclampsia and showed both the instruments and XCMS to be applicable to the reproducible and valid detection of disease biomarkers present in serum...
  16. doi In silico modelling of directed evolution: Implications for experimental design and stepwise evolution
    David C Wedge
    Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK
    J Theor Biol 257:131-41. 2009
    ..Overall, we find that purely evolutionary techniques fare better than do model-based approaches across all but the smoothest landscapes...
  17. pmc Visualising biological data: a semantic approach to tool and database integration
    Steve Pettifer
    School of Computer Science, University of Manchester, Manchester, M13 9PL, UK
    BMC Bioinformatics 10:S19. 2009
    ....
  18. doi KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways
    Irena Spasic
    Manchester Centre for Integrative Systems Biology, The University of Manchester, Manchester, UK
    Bioinformatics 25:1404-11. 2009
    ..It is also suitable for large-scale mining, since multiple reactions and their kinetic parameters can be specified in a single search request, rather than one reaction at a time, which is unsuitable given the size of genome-scale models...
  19. pmc Performing statistical analyses on quantitative data in Taverna workflows: an example using R and maxdBrowse to identify differentially-expressed genes from microarray data
    Peter Li
    Manchester Centre for Integrative Systems Biology and School of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester, M1 7DN, UK
    BMC Bioinformatics 9:334. 2008
    ..Furthermore, this transfer of data may require a reconciliation step in order for there to be interoperability between computational tools...
  20. pmc Array-based evolution of DNA aptamers allows modelling of an explicit sequence-fitness landscape
    Christopher G Knight
    Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester, UK
    Nucleic Acids Res 37:e6. 2009
    ..We demonstrate an extension to the approach by incorporating prior knowledge into CLADE, resulting in some of the tightest binding sequences...
  21. doi Optimal construction of a fast and accurate polarisable water potential based on multipole moments trained by machine learning
    Chris M Handley
    Manchester Interdisciplinary Biocentre, 131 Princess Street, Manchester, UK
    Phys Chem Chem Phys 11:6365-76. 2009
    ..Compared to the Kriging results, combinations are found that are no less accurate (at the 90th energy error percentile), yet are 58% faster for the dimer, and 26% faster for the pentamer...
  22. doi Enzyme kinetics informatics: from instrument to browser
    Neil Swainston
    Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK
    FEBS J 277:3769-79. 2010
    ..The system is designed to be extensible, allowing integration with other manufacturer instruments covering a range of analytical techniques...
  23. pmc Extracting semantically enriched events from biomedical literature
    Makoto Miwa
    The National Centre for Text Mining, Manchester Interdisciplinary Biocentre, University of Manchester, Manchester, UK
    BMC Bioinformatics 13:108. 2012
    ..The automatic recognition of such information can permit the training of systems allowing finer-grained searching of events according to the meta-knowledge that is associated with them...
  24. pmc Scientific discovery as a combinatorial optimisation problem: how best to navigate the landscape of possible experiments?
    Douglas B Kell
    School of Chemistry and Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester, Lancs, UK
    Bioessays 34:236-44. 2012
    ..This analysis fits comfortably with an emerging epistemology that sees scientific reasoning, the search for solutions, and scientific discovery as Bayesian processes...
  25. pmc Efficient discovery of anti-inflammatory small-molecule combinations using evolutionary computing
    Ben G Small
    Doctoral Training Centre, Integrative Systems Biology Molecules to Life, Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester, UK
    Nat Chem Biol 7:902-8. 2011
    ..Evolutionary searches provide a powerful and general approach to the discovery of new combinations of pharmacological agents with therapeutic indices potentially greater than those of single drugs...
  26. doi Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry
    Warwick B Dunn
    Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, Manchester, UK
    Nat Protoc 6:1060-83. 2011
    ..Methods for quality control-based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described...
  27. doi Pharmaceutical drug transport: the issues and the implications that it is essentially carrier-mediated only
    Douglas B Kell
    School of Chemistry, The University of Manchester, 131 Princess St, Manchester, M1 7DN, UK
    Drug Discov Today 16:704-14. 2011
    ..The recognition that drugs necessarily require carriers for uptake into cells provides many opportunities for improving the effectiveness of the drug discovery process...
  28. ncbi Systems biology, metabolic modelling and metabolomics in drug discovery and development
    Douglas B Kell
    School of Chemistry, Faraday Building, The University of Manchester PO Box 88, Manchester, M60 1QD, UK
    Drug Discov Today 11:1085-92. 2006
    ....
  29. ncbi Closed-loop, multiobjective optimization of two-dimensional gas chromatography/mass spectrometry for serum metabolomics
    Warwick B Dunn
    School of Chemistry, The University of Manchester, Faraday Building, Sackville Street, Manchester M60 1QD, UK
    Anal Chem 79:464-76. 2007
    ..A variety of computational methods served to explain the basis for the improvement. This closed-loop optimization strategy is a generic and powerful approach for the optimization of any analytical instrumentation...
  30. ncbi Theodor Bücher Lecture. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. Delivered on 3 July 2005 at the 30th FEBS Congress and the 9th IUBMB conference in Budapest
    Douglas B Kell
    School of Chemistry, Faraday Building, The University of Manchester, UK
    FEBS J 273:873-94. 2006
    ..These include fields such as chemical genomics, synthetic biology, distributed computational environments for biological data and modelling, single cell diagnostics/bionanotechnology, and computational linguistics/text mining...
  31. pmc maxdLoad2 and maxdBrowse: standards-compliant tools for microarray experimental annotation, data management and dissemination
    David Hancock
    School of Computer Science, The University of Manchester, Kilburn Building, Oxford Road, Manchester, UK
    BMC Bioinformatics 6:264. 2005
    ..maxdBrowse is a PHP web-application that makes contents of maxdLoad2 databases accessible via web-browser, the command-line and web-service environments. It thus acts as both a dissemination and data-mining tool...
  32. ncbi Computational cluster validation in post-genomic data analysis
    Julia Handl
    School of Chemistry, University of Manchester, Faraday Building, Sackville Street, PO Box 88, Manchester M60 1QD, UK
    Bioinformatics 21:3201-12. 2005
    ..Suitable computational cluster validation techniques are available in the general data-mining literature, but have been given only a fraction of the same attention in bioinformatics...
  33. pmc Recon 2.2: from reconstruction to model of human metabolism
    Neil Swainston
    Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals SYNBIOCHEM, Manchester Institute of Biotechnology, The University of Manchester, Manchester, M1 7DN UK Faculty of Life Sciences, The University of Manchester, Manchester, M13 9PL UK School of Computer Science, The University of Manchester, Manchester, M13 9PL UK
    Metabolomics 12:109. 2016
    ..Capturing the whole human metabolic reconstruction is an on-going task and since the last community effort generated a consensus reconstruction, several updates have been developed...
  34. pmc A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text
    Makoto Miwa
    The National Centre for Text Mining and School of Computer Science and School of Chemistry and the Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, UK
    Bioinformatics 29:i44-52. 2013
    ..These methods should identify and order documents by relevance to any given pathway reaction. No existing system has addressed all aspects of this challenge...
  35. pmc Automated tracking of gene expression in individual cells and cell compartments
    Hailin Shen
    School of Chemistry, The University of Manchester, Faraday Building, Sackville Street, PO Box 88, Manchester M60 1QD, UK
    J R Soc Interface 3:787-94. 2006
    ..This will lead to substantial benefits for time-lapse-based high-content screening...
  36. pmc Defrosting the digital library: bibliographic tools for the next generation web
    Duncan Hull
    School of Chemistry, The University of Manchester, Manchester, UK
    PLoS Comput Biol 4:e1000204. 2008
    ....
  37. ncbi The virtual human: towards a global systems biology of multiscale, distributed biochemical network models
    Douglas B Kell
    School of Chemistry and The Manchester Centre for Integrative Systems Biology, The Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester, UK
    IUBMB Life 59:689-95. 2007
    ..This kind of architecture permits the distributed yet integrated goal of an evolving 'digital human' model to be realized...
  38. ncbi Proximate parameter tuning for biochemical networks with uncertain kinetic parameters
    Stephen J Wilkinson
    School of Chemistry, Princess St, Manchester, UK
    Mol Biosyst 4:74-97. 2008
    ....
  39. ncbi Selective detection of proteins in mixtures using electrospray ionization mass spectrometry: influence of instrumental settings and implications for proteomics
    Seetharaman Vaidyanathan
    Department of Chemistry, Faraday Building, Sackville Street, UMIST, P O Box 88, Manchester M60 1QD, UK
    Anal Chem 76:5024-32. 2004
    ....
  40. ncbi Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-kappaB signalling pathway
    Hong Yue
    School of Chemistry, University of Manchester, Sackville St, Manchester, UK
    Mol Biosyst 2:640-9. 2006
    ..The whole analysis scheme we describe provides efficient parameter estimation techniques for complex cell networks...
  41. doi SpeedyGenes: Exploiting an Improved Gene Synthesis Method for the Efficient Production of Synthetic Protein Libraries for Directed Evolution
    Andrew Currin
    Manchester Institute of Biotechnology, The University of Manchester, 131, Princess St, Manchester, M1 7DN, UK
    Methods Mol Biol 1472:63-78. 2017
    ..We summarize the integrated use of GeneGenie to design DNA and oligonucleotide sequences, followed by the procedure for assembling these accurately and efficiently using SpeedyGenes. ..
  42. pmc The metabolome 18 years on: a concept comes of age
    Douglas B Kell
    School of Chemistry, The University of Manchester, 131 Princess St, Manchester, M1 7DN UK Manchester Institute of Biotechnology, The University of Manchester, 131 Princess St, Manchester, M1 7DN UK Centre for Synthetic Biology of Fine and Speciality Chemicals SYNBIOCHEM, The University of Manchester, 131, Princess St, Manchester, M1 7DN UK
    Metabolomics 12:148. 2016
    ..The term 'metabolome' was introduced to the scientific literature in September 1998...
  43. pmc A Dormant Microbial Component in the Development of Preeclampsia
    Douglas B Kell
    School of Chemistry, The University of Manchester, Manchester, UK The Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK Centre for Synthetic Biology of Fine and Speciality Chemicals, The University of Manchester, Manchester, UK
    Front Med (Lausanne) 3:60. 2016
    ..Overall, the recognition of an infectious component in the etiology of PE mirrors that for ulcers and other diseases that were previously considered to lack one...
  44. pmc Deterministic mathematical models of the cAMP pathway in Saccharomyces cerevisiae
    Thomas Williamson
    Faculty of Life Sciences, The University of Manchester, Manchester, M13 9PT, UK
    BMC Syst Biol 3:70. 2009
    ..A stochastic model of the pathway has been reported...
  45. ncbi Metabolomics by numbers: acquiring and understanding global metabolite data
    Royston Goodacre
    Department of Chemistry, UMIST, P O Box 88, Sackville Street, Manchester M60 1QD, UK
    Trends Biotechnol 22:245-52. 2004
  46. ncbi Closed-loop, multiobjective optimization of analytical instrumentation: gas chromatography/time-of-flight mass spectrometry of the metabolomes of human serum and of yeast fermentations
    Steve O'Hagan
    School of Chemistry, University of Manchester, Faraday Building, Sackville Street, P O Box 88, Manchester M60 1QD, U K
    Anal Chem 77:290-303. 2005
    ..The evolutionary closed-loop machine learning strategy we describe is generic to any type of analytical optimization...
  47. ncbi Explanatory optimization of protein mass spectrometry via genetic search
    Seetharaman Vaidyanathan
    Department of Chemistry, UMIST, P O Box 88, Sackville Street, Manchester M60 1QD, UK
    Anal Chem 75:6679-86. 2003
    ....
  48. ncbi A proposed framework for the description of plant metabolomics experiments and their results
    Helen Jenkins
    Department of Computer Science, University of Wales, Penglais, Aberystwyth, Ceredigion, Wales, UK
    Nat Biotechnol 22:1601-6. 2004
    ..armet.org/). We seek to advance discussion and community adoption of a standard for metabolomics, which would promote principled collection, storage and transmission of experiment data...
  49. ncbi A systematic approach to modeling, capturing, and disseminating proteomics experimental data
    Chris F Taylor
    School of Biological Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
    Nat Biotechnol 21:247-54. 2003
    ..These make explicit what data might be most usefully captured about proteomics experiments and provide complementary routes toward the implementation of a proteome repository...
  50. ncbi High-throughput classification of yeast mutants for functional genomics using metabolic footprinting
    Jess Allen
    Institute of Biological Sciences, Cledwyn Building, University of Wales, Aberystwyth, Aberystwyth SY23 3DD, UK
    Nat Biotechnol 21:692-6. 2003
    ..By using appropriate clustering and machine learning techniques, the latter based on genetic programming, we show that metabolic footprinting is an effective method to classify 'unknown' mutants by genetic defect...
  51. ncbi Automated manipulation of systems biology models using libSBML within Taverna workflows
    Peter Li
    School of Chemistry and Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, UK
    Bioinformatics 24:287-9. 2008
    ..The ability of Taverna to invoke Java classes and methods is demonstrated by a workflow in which we use libSBML to map gene expression data onto a metabolic pathway represented as a SBML model...
  52. ncbi Functional genomic hypothesis generation and experimentation by a robot scientist
    Ross D King
    Department of Computer Science, University of Wales, Aberystwyth SY23 3DB, UK
    Nature 427:247-52. 2004
    ....
  53. doi Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo
    Bayu Jayawardhana
    Manchester Interdisciplinary Biocentre, The University of Manchester, Manchester M1 7DN, UK
    Bioinformatics 24:1191-7. 2008
    ..In this regard, the ability to identify target and off-target effects of a specific compound or gene therapy is both a major challenge and critical in drug discovery...
  54. ncbi The markup is the model: reasoning about systems biology models in the Semantic Web era
    Douglas B Kell
    School of Chemistry, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
    J Theor Biol 252:538-43. 2008
    ..Optimization is at the core of many scientific and biotechnological activities, and Reinhart made many major contributions in this area, stimulating our own activities in the use of the methods of evolutionary computing for optimization...
  55. ncbi Something from nothing: bridging the gap between constraint-based and kinetic modelling
    Kieran Smallbone
    Manchester Centre for Integrative Systems Biology, The University of Manchester, UK
    FEBS J 274:5576-85. 2007
    ..Moreover, using this particular methodology affords us analytical forms for steady state determination, stability analyses and studies of dynamical behaviour...
  56. pmc Rapid and quantitative detection of the microbial spoilage of meat by fourier transform infrared spectroscopy and machine learning
    David I Ellis
    Institute of Biological Sciences Department of Computer Sciences, University of Wales, Aberystwyth, Ceredigion SY23 3DD, Wales, United Kingdom
    Appl Environ Microbiol 68:2822-8. 2002
    ..We believe this approach will aid in the Hazard Analysis Critical Control Point process for the assessment of the microbiological safety of food at the production, processing, manufacturing, packaging, and storage levels...
  57. ncbi Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: application to gibberellic acid production
    Aoife C McGovern
    Institute of Biological Sciences, Cledwyn Building, University of Wales, Aberystwyth, Ceredigion SY23 3DD, Wales, UK
    Biotechnol Bioeng 78:527-38. 2002
    ....
  58. ncbi Schemes of flux control in a model of Saccharomyces cerevisiae glycolysis
    Leighton Pritchard
    Institute of Biological Sciences, University of Wales, Aberystwyth, UK
    Eur J Biochem 269:3894-904. 2002
    ....
  59. ncbi Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules
    Douglas B Kell
    Institute of Biological Sciences, University of Wales, Aberystwyth, UK
    Mol Biol Rep 29:237-41. 2002
  60. pmc Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks
    Niklas Lüdtke
    School of Chemistry, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
    J R Soc Interface 5:223-35. 2008
    ..Unlike variance-based approaches, our novel methodology can easily accommodate correlated inputs...
  61. pmc Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
    Gareth S Catchpole
    Max Planck Institute for Molecular Plant Physiology, D 14424 Golm, Germany
    Proc Natl Acad Sci U S A 102:14458-62. 2005
    ..We show that, apart from targeted changes, these GM potatoes in this study appear substantially equivalent to traditional cultivars...
  62. ncbi Adoption of the transiently non-culturable state--a bacterial survival strategy?
    Galina V Mukamolova
    Institute of Biological Sciences, University of Wales, Aberystwyth, Ceredigion SY23 3DD, UK
    Adv Microb Physiol 47:65-129. 2003
    ....
  63. ncbi Identification and characterization of high-flux-control genes of yeast through competition analyses in continuous cultures
    Daniela Delneri
    Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK
    Nat Genet 40:113-7. 2008
    ..This chromosome determines a yeast's mating type, and the concentration of haploinsufficient genes there may be a mechanism to prevent its loss...
  64. ncbi Flow-injection electrospray ionization mass spectrometry of crude cell extracts for high-throughput bacterial identification
    Seetharaman Vaidyanathan
    Institute of Biological Sciences, University of Wales, Aberystwyth, Ceredigion, United Kingdom
    J Am Soc Mass Spectrom 13:118-28. 2002
    ....
  65. ncbi Fast automatic registration of images using the phase of a complex wavelet transform: application to proteome gels
    Andrew M Woodward
    Institute of Biological Sciences, Cledwyn Building, University of Wales, Aberystwyth, Ceredigion, UKSY23 3DD
    Analyst 129:542-52. 2004
    ..The method compares favourably with others, since it is computationally rapid, effective and entirely automatic...