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A Model of Problem Solving Environment for Integrated Bioinformatics Solution on Grid by Using Condor

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Grid and Cooperative Computing - GCC 2004 (GCC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3251))

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Abstract

To solve the real-world bioinformatics problems on grid, the integration of various analysis tools is necessary in addition to the implementation of basic tools. Workflow based problem solving environment on grid can be the efficient solution for this type of software development. Here we propose a model of simple problem solving environment that enables component based workflow design of integrated bioinformatics applications on Grid environment by using Condor functionalities.

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References

  1. Thain, D., Tannenbaum, T., Livny, M.: Distributed computing in practice: The condor experience. Concurrency and Computation: Practice and Experience (2004)

    Google Scholar 

  2. Altschul, S., Gish, W., Miller, W., Myers, E., Lipman, D.: Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990)

    Google Scholar 

  3. Pearson, W., Lipman, D.: Improved tools for biological sequence comparison. Proceedings of the National Academy of Sciences of the United States of America 85, 2444–2448 (1988)

    Article  Google Scholar 

  4. Smith, T., Waterman, M.: Identification of common molecular subsequences. J. Mol. Biol. 147, 195–197 (1981)

    Article  Google Scholar 

  5. Tatusov, R.L., Koonin, E.V., Lipman, D.J.: A genomic perspective on protein families. Science 278, 631–637 (1997)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Engineering, Information and Communications University, 103-6 Munji-Dong, Yusung-Gu, Daejon, 305-714, Korea

    Choong-Hyun Sun, Byoung-Jin Kim & Gwan-Su Yi

  2. Grid Technology Research Department, Korea Institute of Science and Technology Information, P.O. Box 122, Yusung, Daejon, 305-600, Korea

    Hyoungwoo Park

Authors
  1. Choong-Hyun Sun
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  2. Byoung-Jin Kim
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  3. Gwan-Su Yi
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  4. Hyoungwoo Park
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Editor information

Editors and Affiliations

  1. Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China

    Hai Jin

  2. Dept. of CS, Georgia State University, 30302, Atlanta, GA, USA

    Yi Pan

  3. National Laboratory for Parallel and Distributed Processing, NUDT, Changsha, 410073, Hunan, China

    Nong Xiao

  4. Cluster and Grid Computing Lab, Huazhong University of Science and Technology, 430074, Wuhan, China

    Jianhua Sun

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© 2004 Springer-Verlag Berlin Heidelberg

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Sun, CH., Kim, BJ., Yi, GS., Park, H. (2004). A Model of Problem Solving Environment for Integrated Bioinformatics Solution on Grid by Using Condor. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_142

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  • DOI: https://doi.org/10.1007/978-3-540-30208-7_142

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23564-4

  • Online ISBN: 978-3-540-30208-7

  • eBook Packages: Springer Book Archive

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