Browsing Bioinformatics and Computational Biology Group by Title

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  • Liakata, Maria (Aberystwyth University, 2009-10-01)
  • Liakata, Maria (Aberystwyth University, 2010-09-13)
  • Liakata, Maria (2010)
    A dissemination website for the findings and outputs of the SAPIENT Automation project and work continuing from there.
  • Clare, Amanda; Williams, Hugh E.; Lester, Nicholas (2004)
    We propose the new RADAR technique for multi-relational data mining. This permits the mining of very large collections and provides a new technique for discovering multi-relational associations. Results show that RADAR is ...
  • King, Ross Donald; Toivonen, H.; Srinivasan, A.; Kramer, S.; Helma, C. (2003)
    Motivation: The development of in silico models to predict chemical carcinogenesis from molecular structure would help greatly to prevent environmentally caused cancers. The Predictive Toxicology Challenge (PTC) competition ...
  • King, Ross Donald; Enot, David (2003)
  • Lindon, John C.; Nicholson, Jeremy; Holmes, Elaine; Keun, Hector; Craig, Andrew; Pearce, Jake; Bruce, Stephen; Hardy, Nigel; Sansone, Susanna-Assunta; Antti, Henrick; Jonsson, Par; Daykin, Clare; Navarange, Mahendra; Beger, Richard; Verheij, Elwin R.; Amberg, Alexander; Baunsgaard, Dorrit; Cantor, Glenn; Lehman-McKeeman, Lois; Earll, Mark; Wold, Svante; Johansson, Erik; Haselden, John; Kramer, Kerstin; Thomas, Craig; Lindberg, Johann; Schuppe-Koistinen, Ina; Wilson, Ian; Reily, Michael; Robertson, Donald G.; Senn, Hans; Krotzky, Arno; Kochhar, Sunil; Powell, Jonathan; van der Ouderaa, Frans; Plumb, Robert; Schaefer, Hartmut; Spraul, Manfred (2005)
    The Standard Metabolic Reporting Structures (SMRS) working group outlines its vision for an open,community-driven specification for the standardization and reporting of metabolic studies.
  • Sparkes, Andrew Charles; Aubrey, Wayne; Byrne, Emma Louise; Clare, Amanda Janet; Khan, Muhammed; Liakata, Maria; Markham, Magdalena; Rowland, Jem; Soldatova, Larisa Nikolaevna; Whelan, Kenneth Edward; Young, Michael; King, Ross Donald (2010-01-04)
    We review the main components of autonomous scientific discovery, and how they lead to the concept of a Robot Scientist. This is a system which uses techniques from artificial intelligence to automate all aspects of the ...
  • Jenkins, Helen; Johnson, Helen E.; Kular, Baldeep; Wang, Trevor; Hardy, Nigel (2005-05-11)
    Over recent years, a number of initiatives have proposed standard reporting guidelines for functional genomics experiments. Associated with these are data models that may be used as the basis of the design of software tools ...
  • Mungall, Christopher J.; Torniai, Carlo; Gkoutos, Georgios V.; Lewis, Suzanna E.; Haendel, Melissa A. (2012-01-31)
    We present Uberon, an integrated cross-species ontology consisting of over 6,500 classes representing a variety of anatomical entities, organized according to traditional anatomical classification criteria. The ontology ...
  • King, Ross Donald; Enot, David (2002)
  • King, Ross Donald; Whelan, Ken (2008-02-12)
    Background: A logical model of the known metabolic processes in S. cerevisiae was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with information from the KEGG online pathway database. ...
  • Alsberg, Bjorn; Clare, Amanda Janet (2010-07)
    As research projects grow in size, there is a tendency for the number of management tasks to increase even faster. There are many different data objects and relations which need to be managed as part of the whole project: ...
  • Liakata, Maria (Association for Computational Linguistics, 2010)
    In view of the increasing need to facilitate processing the content of scientific papers, we present an annotation scheme for annotating full papers with zones of conceptualisation, reflecting the information structure and ...

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