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CorGen—measuring and generating long-range correlations for DNA sequence analysis

CorGen is a web server that measures long-range correlations in the base composition of DNA and generates random sequences with the same correlation parameters. Long-range correlations are characterized by a power-law decay of the auto correlation function of the GC-content. The widespread presence...

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Detalles Bibliográficos
Autores principales: Messer, Philipp W., Arndt, Peter F.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538783/
https://www.ncbi.nlm.nih.gov/pubmed/16845099
http://dx.doi.org/10.1093/nar/gkl234
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author Messer, Philipp W.
Arndt, Peter F.
author_facet Messer, Philipp W.
Arndt, Peter F.
author_sort Messer, Philipp W.
collection PubMed
description CorGen is a web server that measures long-range correlations in the base composition of DNA and generates random sequences with the same correlation parameters. Long-range correlations are characterized by a power-law decay of the auto correlation function of the GC-content. The widespread presence of such correlations in eukaryotic genomes calls for their incorporation into accurate null models of eukaryotic DNA in computational biology. For example, the score statistics of sequence alignment and the performance of motif finding algorithms are significantly affected by the presence of genomic long-range correlations. We use an expansion-randomization dynamics to efficiently generate the correlated random sequences. The server is available at
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spelling pubmed-15387832006-08-18 CorGen—measuring and generating long-range correlations for DNA sequence analysis Messer, Philipp W. Arndt, Peter F. Nucleic Acids Res Article CorGen is a web server that measures long-range correlations in the base composition of DNA and generates random sequences with the same correlation parameters. Long-range correlations are characterized by a power-law decay of the auto correlation function of the GC-content. The widespread presence of such correlations in eukaryotic genomes calls for their incorporation into accurate null models of eukaryotic DNA in computational biology. For example, the score statistics of sequence alignment and the performance of motif finding algorithms are significantly affected by the presence of genomic long-range correlations. We use an expansion-randomization dynamics to efficiently generate the correlated random sequences. The server is available at Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538783/ /pubmed/16845099 http://dx.doi.org/10.1093/nar/gkl234 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Messer, Philipp W.
Arndt, Peter F.
CorGen—measuring and generating long-range correlations for DNA sequence analysis
title CorGen—measuring and generating long-range correlations for DNA sequence analysis
title_full CorGen—measuring and generating long-range correlations for DNA sequence analysis
title_fullStr CorGen—measuring and generating long-range correlations for DNA sequence analysis
title_full_unstemmed CorGen—measuring and generating long-range correlations for DNA sequence analysis
title_short CorGen—measuring and generating long-range correlations for DNA sequence analysis
title_sort corgen—measuring and generating long-range correlations for dna sequence analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538783/
https://www.ncbi.nlm.nih.gov/pubmed/16845099
http://dx.doi.org/10.1093/nar/gkl234
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