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inria-00100088, version 1

Computer analysis of multiple repeats in bacteria

Alexey Vitreschak a1, Laurent Noé () b1, Gregory Kucherov a1

The fourth International Conference on Bioinformatics of Genome Regulation and Structure - BGRS'2004 (2004) 5 p

Abstract: Motivation: The presence of repeated sequences is a well-known feature of bacterial genomes and interpretation and classification of those repeats is an actual problem. Results: We described a method for computing multiple repeats, that is sequences that have multiple (two or more) occurrences in a genome. In order to identify multiple repeats in bacteria genomes, we apply the YASS software (Noe et Kucherov) and developed a novel algorithm for multiple repeat clusterization. Exhaustive computation and analysis of those clusters of repeated sequences in bacteria is the subject of the present work.

  • a –  INRIA
  • b –  UNIVERSITE HENRI POINCARE
  • 1:  ADAGE (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • Domain : Computer Science/Other
  • Keywords : repeats – clusterization – bacteria || répétitions – groupement – bactéries
  • Internal note : A04-R-332 || vitreschak04b
  • Comment : Colloque avec actes et comité de lecture. internationale.
 
  • inria-00100088, version 1
  • oai:hal.inria.fr:inria-00100088
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  • Submitted on: Tuesday, 26 September 2006 10:14:00
  • Updated on: Thursday, 28 September 2006 15:22:47