De novo repeat classification and fragment assembly

  • Authors:
  • Pavel A. Pevzner;Haixu Tang;Glenn Tesler

  • Affiliations:
  • University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA

  • Venue:
  • RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
  • Year:
  • 2004

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Abstract

Repetitive sequences make up a significant fraction of almost any genome and an important and still open question in bioinformatics is how to represent all repeats in DNA sequences. We propose a radically new approach to repeat classification that is motivated by the fundamental topological notion of quotient spaces. A torus or Klein bottle are examples of quotient spaces that can be obtained from a square by gluing some points. Our new repeat classification algorithm is based on the observation that the alignment-induced quotient space of a DNA sequence compactly represents all sequence repeats. This observation leads to a simple and efficient solution of the repeat classification problem as well as new approaches to fragment assembly and multiple alignment.