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Annual International Conference on Research in Computational Molecular Biology

RECOMB 2006: Research in Computational Molecular Biology pp 30–44Cite as

Biological Networks: Comparison, Conservation, and Evolutionary Trees

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3909))

Abstract

We describe a new approach for comparing cellular-biological networks, and finding conserved regions in two or more such networks. We use the length of describing one network, given the description of the other one, as a distance measure. We employ these distances as inputs for generating phylogenetic trees. Our algorithms are fast enough for generating phylogenetic tree of more than two hundreds metabolic networks that appear in KEGG. Using KEGG’s metabolic networks as our starting point, we got trees that are not perfect, but are surprisingly good. We also found conserved regions among more than a dozen metabolic networks, and among two protein interaction networks. These conserved regions seem biologically relevant, proving the viability of our approach.

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Author information

Authors and Affiliations

  1. School of Computer Science, Tel Aviv University,  

    Benny Chor & Tamir Tuller

Authors
  1. Benny Chor
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  2. Tamir Tuller
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Editor information

Editors and Affiliations

  1. Georgia Institute of Technology and Università di Padova,  

    Alberto Apostolico

  2. Topic Chairs, P.O. Box

    Concettina Guerra

  3. Center for Molecular Biology and Computer Sciecne Department, Brown University, 115 Waterman St., 02912, Providence, RI, USA

    Sorin Istrail

  4. University of California, San Diego, USA

    Pavel A. Pevzner

  5. Department of Molecular and Computational Biology, University of Southern California, 1050 Childs Way, 90089-2910, Los Angeles, CA, USA

    Michael Waterman

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© 2006 Springer-Verlag Berlin Heidelberg

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Chor, B., Tuller, T. (2006). Biological Networks: Comparison, Conservation, and Evolutionary Trees. In: Apostolico, A., Guerra, C., Istrail, S., Pevzner, P.A., Waterman, M. (eds) Research in Computational Molecular Biology. RECOMB 2006. Lecture Notes in Computer Science(), vol 3909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732990_3

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  • DOI: https://doi.org/10.1007/11732990_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33295-4

  • Online ISBN: 978-3-540-33296-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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