Bioinformatics Advance Access originally published online on October 11, 2006
Bioinformatics 2007 23(1):119-121; doi:10.1093/bioinformatics/btl519
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Repseek, a tool to retrieve approximate repeats from large DNA sequences
1 Atelier de Bioinformatique, Université Pierre et Marie Curie-Paris 6 12, rue Cuvier, 75005 Paris, France
2 UMR 7138 Systématique, Adaptation, Evolution, Université Pierre et Marie Curie-Paris 6, Bâtiment A 7, quai St Bernard, 75252 Paris Cedex 05, France
3 INRIA-Rhône Alpes projet HELIX, 655, avenue de l'Europe, Montbonnot 38334 Saint Ismier Cedex, France
4 Unité Génétique des Génomes Bactériens, Institut Pasteur 28, rue du Dr Roux, 75724 Paris Cedex 15, France
5 UMR 5163 LAPM, Université Joseph Fourier, BP 53 38041 Grenoble Cedex 9, France
*To whom correspondence should be addressed.
Summary: Chromosomes or other long DNA sequences contain many highly similar repeated sub-sequences. While there are efficient methods for detecting strict repeats or detecting already characterized repeats, there is no software available for detecting approximate repeats in large DNA sequences allowing for weighted substitutions and indels in a coherent statistical framework. Here, we present an implementation of a two-steps method (seed detection followed by their extension) that detects those approximate repeats. Our method is computationally efficient enough to handle large sequences and is flexible enough to account for influencing factors, such as sequence-composition biases both at the seed detection and alignment levels.
Availability: http://wwwabi.snv.jussieu.fr/public/RepSeek/
Contact: achaz{at}abi.snv.jussieu.fr http://www.repetmasker.org
Received on July 20, 2006; revised on September 12, 2006; accepted on October 6, 2006
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