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BIDEL: An XML-Based System for Effective Fast Change Detection of Genomic and Proteomic Data

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Database Systems for Advanced Applications (DASFAA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5982))

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Abstract

A key issue to address in biological data integration is how to detect changes to the underlying biological data sources. In this demonstration, we present a novel system called bidel for detecting changes to genomic and proteomic data (sequences and annotations). We transform heterogeneous biological data to xml format (if necessary) and then detect changes between two versions of unordered xml representation of biological data. This demonstration will showcase the functionality of our system and the effectiveness of change detection in life sciences environment.

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References

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Author information

Authors and Affiliations

  1. Singapore-MIT Alliance, Nanyang Technological University, Singapore

    Sourav S. Bhowmick

  2. School of Computer Engineering, Nanyang Technological University, Singapore

    Song Yang & Sourav S. Bhowmick

Authors
  1. Song Yang
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  2. Sourav S. Bhowmick
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Editor information

Editors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, 305–8573, Tennodai, Tsukuba, Ibaraki, Japan

    Hiroyuki Kitagawa

  2. Information Technology Center, Nagoya University, 464-8601, Furo-cho, Chikusa-ku, Nagoya, Japan

    Yoshiharu Ishikawa

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Qing Li

  4. Department of Information Science, Ochanomizu University, 2-1-1, Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Chiemi Watanabe

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Yang, S., Bhowmick, S.S. (2010). BIDEL: An XML-Based System for Effective Fast Change Detection of Genomic and Proteomic Data. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_53

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  • DOI: https://doi.org/10.1007/978-3-642-12098-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12097-8

  • Online ISBN: 978-3-642-12098-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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