Browsing Bioinformatics and Computational Biology Group by Title

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  • Fiehn, Oliver; Kristal, Bruce; Ommen, Ben van; Sumner, Lloyd W.; Sansone, Susanna-Assunta; Taylor, Chris F.; Hardy, Nigel; Kaddurah-Daouk, Rima (2006-06)
    Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the ...
  • Fiehn, Oliver; Kristal, Bruce; Ommen, Ben van; Sumner, Lloyd W.; Sansone, Susanna-Assunta; Taylor, Chris F.; Hardy, Nigel; Kaddurah-Daouk, Rima (2006-06)
    Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the ...
  • Soldatova, Larisa Nikolaevna; Aubrey, Wayne; King, Ross Donald; Clare, Amanda Janet (2008-07-01)
    Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published results are very hard or impossible to repeat. This problem is being ...
  • Soldatova, Larisa Nikolaevna; Aubrey, Wayne; King, Ross Donald; Clare, Amanda Janet (2008-07-01)
    Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published results are very hard or impossible to repeat. This problem is being ...
  • Woodward, Andrew M.; Rowland, Jem; Kell, Douglas B. (2004)
    Image registration describes the process of manipulating a distorted version of an image such that its pixels overlay the equivalent pixels in a clean, master or reference image. The need for it has assumed particular ...
  • Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Brandizi, Marco; Brazma, Alvis; Field, Dawn; Fostel, Jennifer; Garrow, Andrew G.; Gilbert, Jack; Goodsaid, Federico; Hardy, Nigel; Jones, Phil; Lister, Allyson; Miller, Michael; Morrison, Norman; Rayner, Tim; Sklyar, Nataliya; Taylor, Chris F.; Tong, Weida; Warner, Guy; Wiemann, Stefan (2008-06-19)
    This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of the Microarray Gene ...
  • Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Brandizi, Marco; Brazma, Alvis; Field, Dawn; Fostel, Jennifer; Garrow, Andrew G.; Gilbert, Jack; Goodsaid, Federico; Hardy, Nigel; Jones, Phil; Lister, Allyson; Miller, Michael; Morrison, Norman; Rayner, Tim; Sklyar, Nataliya; Taylor, Chris F.; Tong, Weida; Warner, Guy; Wiemann, Stefan (2008-06-19)
    This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of the Microarray Gene ...
  • King, Ross Donald; Whelan, Kenneth Edward; Hoare, Ffion Mair; Reiser, Philip; Bryant, Christopher H.; Muggleton, Stephen H.; Kell, Douglas B.; Oliver, Stephen G. (2004-01-15)
    The question of whether it is possible to automate the scientific process is of both great theoretical interest and increasing practical importance because, in many scientific areas, data are being generated much faster ...
  • King, Ross Donald; Whelan, Kenneth Edward; Hoare, Ffion Mair; Reiser, Philip; Bryant, Christopher H.; Muggleton, Stephen H.; Kell, Douglas B.; Oliver, Stephen G. (2004-01-15)
    The question of whether it is possible to automate the scientific process is of both great theoretical interest and increasing practical importance because, in many scientific areas, data are being generated much faster ...
  • Jones, Andrew R.; Miller, Michael; Aebersold, Ruedi; Apweiler, Rolf; Ball, Catherine A.; Brazma, Alvis; DeGreef, James; Hardy, Nigel; Hermjakob, Henning; Hubbard, Simon J.; Hussey, Peter; Igra, Mark; Jenkins, Helen; Julian Jr, Randall K.; Laursen, Kent; Oliver, Stephen G.; Paton, Norman W.; Sansone, Susanna-Assunta; Sarkans, Ugis; Stoeckert Jr, Christian J.; Taylor, Chris F.; Whetzel, Patricia L.; White, Joseph A.; Spellman, Paul; Pizarro, Angel (2007-10-05)
    The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental ...
  • Jones, Andrew R.; Miller, Michael; Aebersold, Ruedi; Apweiler, Rolf; Ball, Catherine A.; Brazma, Alvis; DeGreef, James; Hardy, Nigel; Hermjakob, Henning; Hubbard, Simon J.; Hussey, Peter; Igra, Mark; Jenkins, Helen; Julian Jr, Randall K.; Laursen, Kent; Oliver, Stephen G.; Paton, Norman W.; Sansone, Susanna-Assunta; Sarkans, Ugis; Stoeckert Jr, Christian J.; Taylor, Chris F.; Whetzel, Patricia L.; White, Joseph A.; Spellman, Paul; Pizarro, Angel (2007-10-05)
    The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental ...
  • Dobson, Paul D.; Smallbone, Kieran; Jameson, Daniel; Simeonidis, Evangelos; Lanthaler, Karin; Pir, Pınar; Lu, Chuan; Swainston, Neil; Dunn, Warwick B.; Fisher, Paul; Hull, Duncan; Brown, Marie; Oshota, Olusegun; Stanford, Natalie J.; Kell, Douglas B.; King, Ross Donald; Oliver, Stephen G.; Stevens, Robert D.; Mendes, Pedro (2010-10-28)
    Background. To date, several genome-scale network reconstructions have been used to describe the metabolism of the yeast Saccharomyces cerevisiae, each differing in scope and content. The recent community-driven reconstruction, ...
  • Jenkins, Helen Ann; Beckmann, Manfred; Draper, John; Hardy, Nigel William (Springer, 2007)
  • Jenkins, Helen Ann; Beckmann, Manfred; Draper, John; Hardy, Nigel William (Springer, 2007)
  • Pritchard, Leighton; Corne, D.; Kell, Douglas B.; Winson, Mike K.; Rowland, Jeremy John (2005-06-21)
    In this paper, we generalise a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation ...
  • Pritchard, Leighton; Corne, D.; Kell, Douglas B.; Winson, Mike K.; Rowland, Jeremy John (2005-06-21)
    In this paper, we generalise a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation ...
  • Rowland, Jeremy John (2003)
    EC-based supervised learning has been demonstrated to be an effective approach to forming predictive models in genomics, spectral interpretation, and other problems in modern biology. Longer-established methods such as PLS ...
  • Rowland, Jeremy John (2003)
    EC-based supervised learning has been demonstrated to be an effective approach to forming predictive models in genomics, spectral interpretation, and other problems in modern biology. Longer-established methods such as PLS ...

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