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Volume 13 Supplement 1

Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2010

Research

Edited by Albert Burger, Adrian Paschke, Paolo Romano, M Scott Marshall and Andrea Splendiani

The organizers would like to thank Ontotext, Franz Inc, Ontoprise and O'Reilly for their support of the Workshop.

Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2010. Go to conference site.

Berlin, Germany10 December 2010

  1. As Semantic Web technologies mature and new releases of key elements, such as SPARQL 1.1 and OWL 2.0, become available, the Life Sciences continue to push the boundaries of these technologies with ever more so...

    Authors: Albert Burger, Adrian Paschke, Paolo Romano, M Scott Marshall and Andrea Splendiani
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S1
  2. SPARQL query composition is difficult for the lay-person, and even the experienced bioinformatician in cases where the data model is unfamiliar. Moreover, established best-practices and internationalization co...

    Authors: Luke McCarthy, Ben Vandervalk and Mark Wilkinson
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S2
  3. Semantic Web technologies have been developed to overcome the limitations of the current Web and conventional data integration solutions. The Semantic Web is expected to link all the data present on the Intern...

    Authors: Vladimir Mironov, Nirmala Seethappan, Ward Blondé, Erick Antezana, Andrea Splendiani and Martin Kuiper
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S3
  4. Because of the increasing number of electronic resources, designing efficient tools to retrieve and exploit them is a major challenge. Some improvements have been offered by semantic Web technologies and appli...

    Authors: Mohameth-François Sy, Sylvie Ranwez, Jacky Montmain, Armelle Regnault, Michel Crampes and Vincent Ranwez
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S4
  5. Ontologies are being developed for the life sciences to standardise the way we describe and interpret the wealth of data currently being generated. As more ontology based applications begin to emerge, tools ar...

    Authors: Simon Jupp, Matthew Horridge, Luigi Iannone, Julie Klein, Stuart Owen, Joost Schanstra, Katy Wolstencroft and Robert Stevens
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S5
  6. Saccharomyces cerevisiae is recognized as a model system representing a simple eukaryote whose genome can be easily manipulated. Information solicited by scientists on its biological entities (Proteins, Genes, RN...

    Authors: Abdelaali Briache, Kamar Marrakchi, Amine Kerzazi, Ismael Navas-Delgado, Badr D Rossi Hassani, Khalid Lairini and José F Aldana-Montes
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S7
  7. Personalised medicine provides patients with treatments that are specific to their genetic profiles. It requires efficient data sharing of disparate data types across a variety of scientific disciplines, such ...

    Authors: Alejandra González-Beltrán, Ben Tagger and Anthony Finkelstein
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S9
  8. The RDF triple provides a simple linguistic means of describing limitless types of information. Triples can be flexibly combined into a unified data source we call a semantic model. Semantic models open new po...

    Authors: Matthew E Holford, Jamie P McCusker, Kei-Hoi Cheung and Michael Krauthammer
    Citation: BMC Bioinformatics 2012 13(Suppl 1):S10

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