Browsing Bioinformatics and Computational Biology Group by Title

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  • 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 ...
  • Liakata, Maria; Soldatova, Larisa (Joint Information Systems Committee (JISC), 2008-11-28)
    The guidelines discuss the annotation of General Scientific Concepts (GSCs) in the context of the ART project. The goal of the ART project is to provide an authoring tool to automatically translate scientific papers from ...
  • Liakata, Maria; Soldatova, Larisa (Jisc, 2008-11-28)
    The guidelines discuss the annotation of General Scientific Concepts (GSCs) in the context of the ART project. The goal of the ART project is to provide an authoring tool to automatically translate scientific papers from ...
  • Clare, Amanda; Džeroski, Sašo; Struyf, Jan; Blockeel, Hendrik (2005)
    This paper investigates how predictive clustering trees can be used to predict gene function in the genome of the yeast Saccharomyces cerevisiae. We consider the MIPS FunCat classification scheme, in which each gene is ...
  • Karwath, Andreas; King, Ross Donald (2002-04-23)
    Background: The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify ~50% of homologies (with a false positive rate set at 1/ 1000). Results: We present ...
  • Garrett, Simon Martin (2005)
    The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then ...
  • Garrett, Simon Martin (2005)
    The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then ...
  • Clare, Amanda; King, Ross Donald (2002)
    We wished to quantify the state-of-the-art of our understanding of clusters in microarray data. To do this we systematically compared the clusters produced on sets of microarray data using a representative set of clustering ...

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