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Bioinformatics Data Source Integration Based on Semantic Relationships Across Species

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Data Mining and Bioinformatics (VDMB 2006)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4316))

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Abstract

Bioinformatics databases are heterogeneous, differ in their representation as well as in their query capabilities across diverse information held in distributed autonomous resources. Current approaches to integrating heterogeneous bioinformatics data sources are based on one of a: common field, ontology or cross-reference. In this paper we investigate the use of semantic relationships across species to link, integrate and annotate genes from publicly available data sources and a novel Soft Link approach is introduced, to link information across species held in biological databases, through providing a flexible method of joining related information from different databases, including non-bioinformatics databases. A measure of relationship closeness will afford a biologist a new tool in their repertoire for analysis. Soft Links are identified as interrelated concepts and can be used to create a rich set of possible relation types supporting the investigation of alternative hypothesis.

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Author information

Authors and Affiliations

  1. School of Computer Sciences, Cardiff University, 5 The Parade, Cardiff, CF24 3AA, UK

    Badr Al-Daihani & Alex Gray

  2. School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3US, UK

    Peter Kille

Authors
  1. Badr Al-Daihani
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  2. Alex Gray
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  3. Peter Kille
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Editor information

Editors and Affiliations

  1. School of Informatics, Indiana University, 901 E. 10th Street, 47408, Bloomington, IN,  

    Mehmet M. Dalkilic  & Sun Kim  & 

  2. EECS Department, Case Western Reserve Univ., 10900 Euclid Ave, 44106, Cleveland, OH, USA

    Jiong Yang

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© 2006 Springer-Verlag Berlin Heidelberg

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Al-Daihani, B., Gray, A., Kille, P. (2006). Bioinformatics Data Source Integration Based on Semantic Relationships Across Species. In: Dalkilic, M.M., Kim, S., Yang, J. (eds) Data Mining and Bioinformatics. VDMB 2006. Lecture Notes in Computer Science(), vol 4316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11960669_8

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  • DOI: https://doi.org/10.1007/11960669_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68970-6

  • Online ISBN: 978-3-540-68971-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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