28. UTGB Toolkit for Personalized Genome Browsers

  1. Dr. Matthias Harbers2,3 and
  2. Prof. Dr. Günter Kahl4,5,6
  1. Taro L. Saito,
  2. Jun Yoshimura,
  3. Budrul Ahsan,
  4. Atsushi Sasaki,
  5. Reginaldo Kurosh and
  6. Shinichi Morishita

Published Online: 23 JAN 2012

DOI: 10.1002/9783527644582.ch28

Tag-Based Next Generation Sequencing

Tag-Based Next Generation Sequencing

How to Cite

Saito, T. L., Yoshimura, J., Ahsan, B., Sasaki, A., Kurosh, R. and Morishita, S. (2011) UTGB Toolkit for Personalized Genome Browsers, in Tag-Based Next Generation Sequencing (eds M. Harbers and G. Kahl), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527644582.ch28

Editor Information

  1. 2

    4-2-6 Nishihara, Kashiwa-Shi, Chiba 277-0885, Japan

  2. 3

    DNAFORM Inc., Leading Venture Plaza 2, 75-1 Ono-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0046, Japan

  3. 4

    Mohrmühlgasse 3, 63500 Seligenstadt, Germany

  4. 5

    University of Frankfurt am Main Biocenter, Max-von-Lauestraße 9, 60439 Frankfurt am Main, Germany

  5. 6

    Frankfurt Biotechnology Innovation Center (FIZ), GenXPro Ltd, Altenhöferallee 3, 60438 Frankfurt am Main, Germany

Author Information

  1. University of Tokyo, Graduate School of Frontier Sciences, Department of Computational Biology, Kashiwa Research Complex 370, 5-1-5 Kashiwanoha, Kashiwa City, Chiba 277-8562, Japan

Publication History

  1. Published Online: 23 JAN 2012
  2. Published Print: 14 DEC 2011

ISBN Information

Print ISBN: 9783527328192

Online ISBN: 9783527644582



  • UTGB toolkit;
  • personalized genome browsers;
  • methods;
  • web applications;
  • perspectives


The advance of high-throughput DNA sequencers has increased the pace of collecting enormous amounts of genomic information, yielding billions of nucleotides on a weekly basis. This advance represents an improvement of two orders of magnitude over traditional Sanger sequencers in terms of the number of nucleotides per unit time, allowing even small groups of researchers to obtain huge volumes of genomic data over a fairly short period. Consequently, a pressing need exists for the development of personalized genome browsers for analyzing these immense amounts of locally stored data. The UTGB (University of Tokyo Genome Browser) Toolkit is designed to meet three major requirements for personalization of genome browsers: easy installation of the system with minimum effort, browsing locally stored data, and rapid interactive design of web interfaces tailored to individual needs. The UTGB Toolkit is licensed under an open-source license and the software is freely available at utgenome.org.