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SWAMI: Integrating Biological Databases and Analysis Tools Within User Friendly Environment

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Data Integration in the Life Sciences (DILS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4544))

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Abstract

In the last decade, many projects have tried to deal with the integration of biological resources. Web portals have flourished online, each providing data from a public provider. Although these online resources are available with a set of manipulation tools, scientists, researchers, and students often have to shift from one resource to another to accomplish a particular task. Making a rich tool set available along with a variety of databases, data formats, and computational capabilities is a complex task. It requires building a versatile environment for data integration, data manipulation, and data storage. In this paper, we study the requirements and report the architectural design of a web application, code named SWAMI, which aims at integrating a rich tool set and a variety of biological databases. The suggested architecture is highly scalable in terms of adding databases and new manipulation tools.

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Authors and Affiliations

  1. The San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive La Jolla, CA 92093-0505,  

    Rami Rifaieh, Roger Unwin, Jeremy Carver & Mark A. Miller

Authors
  1. Rami Rifaieh
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  2. Roger Unwin
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  3. Jeremy Carver
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  4. Mark A. Miller
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Sarah Cohen-Boulakia Val Tannen

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Rifaieh, R., Unwin, R., Carver, J., Miller, M.A. (2007). SWAMI: Integrating Biological Databases and Analysis Tools Within User Friendly Environment. In: Cohen-Boulakia, S., Tannen, V. (eds) Data Integration in the Life Sciences. DILS 2007. Lecture Notes in Computer Science(), vol 4544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73255-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-73255-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73254-9

  • Online ISBN: 978-3-540-73255-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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