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mreps: efficient and flexible detection of tandem repeats in DNA

Identifieur interne : 001949 ( Istex/Checkpoint ); précédent : 001948; suivant : 001950

mreps: efficient and flexible detection of tandem repeats in DNA

Auteurs : Roman Kolpakov ; Ghizlane Bana [France] ; Gregory Kucherov [France]

Source :

RBID : ISTEX:7C83591DA4DCBA20FC7287D8834B96E60103F431

English descriptors

Abstract

The presence of repeated sequences is a fundamental feature of genomes. Tandemly repeated DNA appears in both eukaryotic and prokaryotic genomes, it is associated with various regulatory mechanisms and plays an important role in genomic fingerprinting. In this paper, we describe mreps, a powerful software tool for a fast identification of tandemly repeated structures in DNA sequences. mreps is able to identify all types of tandem repeats within a single run on a whole genomic sequence. It has a resolution parameter that allows the program to identify ‘fuzzy’ repeats. We introduce main algorithmic solutions behind mreps, describe its usage, give some execution time benchmarks and present several case studies to illustrate its capabilities. The mreps web interface is accessible through http://www.loria.fr/mreps/.

Url:
DOI: 10.1093/nar/gkg617


Affiliations:


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ISTEX:7C83591DA4DCBA20FC7287D8834B96E60103F431

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<term>Different resolution values</term>
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<term>Neisseria meningitidis</term>
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<term>Nucleic acids</term>
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<term>Tandem arrays</term>
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<div type="abstract" xml:lang="en">The presence of repeated sequences is a fundamental feature of genomes. Tandemly repeated DNA appears in both eukaryotic and prokaryotic genomes, it is associated with various regulatory mechanisms and plays an important role in genomic fingerprinting. In this paper, we describe mreps, a powerful software tool for a fast identification of tandemly repeated structures in DNA sequences. mreps is able to identify all types of tandem repeats within a single run on a whole genomic sequence. It has a resolution parameter that allows the program to identify ‘fuzzy’ repeats. We introduce main algorithmic solutions behind mreps, describe its usage, give some execution time benchmarks and present several case studies to illustrate its capabilities. The mreps web interface is accessible through http://www.loria.fr/mreps/.</div>
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