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The Genome Atlas Resource

  • Conference paper
Computational Systems-Biology and Bioinformatics (CSBio 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 115))

Abstract

The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User-configurable and dynamic views of Chromosomal maps are made possible through an updated GeneWiz browser (version 0.94) which uses Java to allow rapid zooming in and out of the atlases.

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Author information

Authors and Affiliations

  1. Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, 2800, Lyngby, Denmark

    Matloob Qureshi, Eva Rotenberg, Hans-Henrik Stærfeldt, Lena Hansson & David W. Ussery

Authors
  1. Matloob Qureshi
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  2. Eva Rotenberg
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  3. Hans-Henrik Stærfeldt
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  4. Lena Hansson
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  5. David W. Ussery
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Editor information

Editors and Affiliations

  1. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha U-Thit Rd, Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

  2. School of Computer Engineering, Nanyang Technological University, Block N4, 2b-39,Nanyang Avenue, 639798, Singapore

    Yew-Soon Ong

  3. Dept. of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, 120-749, Seoul, South Korea

    Sung-Bae Cho

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© 2010 Springer-Verlag Berlin Heidelberg

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Qureshi, M., Rotenberg, E., Stærfeldt, HH., Hansson, L., Ussery, D.W. (2010). The Genome Atlas Resource. In: Chan, J.H., Ong, YS., Cho, SB. (eds) Computational Systems-Biology and Bioinformatics. CSBio 2010. Communications in Computer and Information Science, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16750-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-16750-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16749-2

  • Online ISBN: 978-3-642-16750-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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