Browsing Bioinformatics and Computational Biology Group by Title

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  • King, Ross Donald; Whelan, Ken (2004-09)
    The automation of laboratory techniques has greatly increased the number of experiments that can be carried out in the chemical and biological sciences. Until recently, this automation has focused primarily on improving ...
  • Rowland, Jeremy John (Morgan Kaufmann (Hardcourt Publishers), 2002)
  • Ridoux, O.; Ferre, Sebastien (2004)
    Logical Information Systems (LIS) use logic in a uniform way to describe theircontents, to query it, to navigate through it, to analyze it, and to maintain it.They can be given an abstract specification that does not depend ...
  • Lu, Chuan; King, Ross Donald (2009-06-17)
    Motivation: Distribution analysis is one of the most basic forms of statistical analysis. Thanks to improved analytical methods, accurate and extensive quantitative measurements can now be made of the mRNA, protein and ...
  • Garrett, Simon; King, Ross Donald; Coghill, George (2004-12-01)
  • King, Ross Donald; Coghill, George; Garrett, Simon (2002)
  • Byrne, Emma Louise; Liakata, Maria; Whelan, Kenneth Edward; Oliver, Stephen G.; Rowland, Jeremy John; Aubrey, Wayne; Soldatova, Larisa Nikolaevna; Sparkes, Andrew Charles; Young, Michael; Markham, Magdalena; Clare, Amanda Janet; Pir, Pinar; King, Ross Donald (2009-08-21)
    In their 19 June letter ('Machines fall short of revolutionary science,' p. 1515), P. W. Anderson and E. Abrahams, commenting on our work on the automation of science, state that we are 'seriously mistaken about the nature ...
  • Riley, Michael Charles; Clare, Amanda; King, Ross Donald (2007-03-30)
    Background: We are interested in understanding the locational distribution of genes and their functions in genomes, as this distribution has both functional and evolutionary significance. Gene locational distribution is ...
  • Clare, Amanda; King, Ross Donald (2002)
    Motivation: Mutant phenotype growth experiments are an important novel source of functional genomics data which have received little attention in bioinformatics. We applied supervised machine learning to the problem of ...
  • Bignardi, T.; Burnet, S.; Alhamdan, D.; Lu, Chuan; Pardey, J.; Benzie, R.; Condous, George (2011-06-06)
    OBJECTIVE: To assess the impact of the introduction of an ultrasound-based model of care for women with acute gynecological complications. METHODS: This was a prospective comparative study of women attending an ultrasound-based ...
  • Spasić, Irena; Dunn, Warwick B.; Velarde, Giles; Tseng, Andy; Jenkins, Helen; Hardy, Nigel; Oliver, Stephen G.; Kell, Douglas B. (2006-06-05)
    Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Rowland, Jeremy John (2003-11)
    The expressive power, powerful search capability, and the explicit nature of the resulting models make evolutionary methods very attractive for supervised learning applications in bioinformatics. However, their characteristics ...
  • Schierz, Amanda (2007-11-01)
    The diffusion and transfer of knowledge is central to the process of innovation and is of importance to both academics and industrialists. In this paper, we propose that academic articles and patent documents referring to ...
  • Marchand-Geneste, N.; Watson, K. A.; Alsberg, B.; King, Ross Donald (2002)
    A key problem in QSAR is the selection of appropriate descriptors to form accurate regression equations for the compounds under study. Inductive logic programming (ILP) algorithms are a class of machine-learning algorithms ...
  • King, Ross Donald; Liakata, Maria; Lu, Chuan; Oliver, Stephen G.; Soldatova, Larisa Nikolaevna (2011-10-07)
    The reuse of scientific knowledge obtained from one investigation in another investigation is basic to the advance of science. Scientific investigations should therefore be recorded in ways that promote the reuse of the ...
  • King, Ross Donald; Garrett, Simon Martin; Coghill, George (2005-01-12)
    Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models of cells. To do this we require computational formalisms for both simulation (how according to the model the state of the ...
  • Soldatova, Larisa; Clare, Amanda; Sparkes, Andrew; King, Ross Donald (2006)
    Motivation: A Robot Scientist is a physically implemented robotic system that can automatically carry out cycles of scientific experimentation. We are commissioning a new Robot Scientist designed to investigate gene function ...
  • Qi, Da; King, Ross D.; Hopkins, Andrew L.; Bickerton, G.; Richard, J.; Soldatova, Larisa N. (2010)
    The paper presents an ontology for the description of Drug Discovery Investigation (DDI). This has been developed through the use of a Robot Scientist “Eve”, and in consultation with industry. DDI aims to define the principle ...

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