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SVG-Based Interactive Visualization of PSE-Bio

  • Conference paper
High Performance Computing and Applications

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5938))

Abstract

PSE-Bio is a web service-based PSE for bioinformatics. To facilitate users to analyze various service invocation results with the web browser, a uniform visualization data object to encapsulate returned information is designed. SVG is used to implement visualization, and Ajax is adopted to make the visualization results interact with service again directly from the SVG page. The experiment is done in the end to indicate that this solution is suitable for visualization of bioinformatics.

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References

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Author information

Authors and Affiliations

  1. Department of Electronic Information and Electric Engineering, Changzhou Institute of Technology, Changzhou, 213002, China

    Guoyong Mao

  2. Changzhou Key lab for research and application of software technology, Changzhou, 213002, China

    Guoyong Mao

  3. School of Computer Engineering and Science, Shanghai University, Shanghai, 200072, China

    Jiang Xie

Authors
  1. Guoyong Mao
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  2. Jiang Xie
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Editor information

Editors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, 200072, Shanghai, P.R. China

    Wu Zhang  & Weiqin Tong  & 

  2. Schulich School of Engineering, University of Calgary, T2N 1N4, Calgary, AB, Canada

    Zhangxin Chen

  3. Department of Mathematics, University of Wyoming, 1000 University Avenue, 82071-3036, Laramie, WY, USA

    Craig C. Douglas

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Mao, G., Xie, J. (2010). SVG-Based Interactive Visualization of PSE-Bio. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_39

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  • DOI: https://doi.org/10.1007/978-3-642-11842-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11841-8

  • Online ISBN: 978-3-642-11842-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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