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Conference Papers Year : 2004

Computer analysis of multiple repeats in bacteria


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.


Other [cs.OH]
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inria-00100088 , version 1 (26-09-2006)


  • HAL Id : inria-00100088 , version 1


Alexey Vitreschak, Laurent Noé, Gregory Kucherov. Computer analysis of multiple repeats in bacteria. The fourth International Conference on Bioinformatics of Genome Regulation and Structure - BGRS'2004, 2004, Novosibirsk, Russia, 5 p. ⟨inria-00100088⟩
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