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

Philipp W Messer1, Peter F Arndt

  • 1Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin, Germany. philipp.messer@molgen.mpg.de

Nucleic Acids Research
|July 18, 2006
PubMed
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CorGen is a web server that measures long-range correlations in DNA base composition. It generates random DNA sequences reflecting these genomic correlations, crucial for computational biology models.

Area of Science:

  • Computational Biology
  • Genomics
  • Bioinformatics

Background:

  • Long-range correlations in DNA base composition, specifically GC-content, are prevalent in eukaryotic genomes.
  • These correlations follow a power-law decay in their autocorrelation function.
  • Genomic long-range correlations significantly impact sequence alignment scores and motif-finding algorithm performance.

Purpose of the Study:

  • To develop a computational tool for analyzing long-range correlations in DNA.
  • To generate random DNA sequences that accurately mimic these genomic correlations.
  • To provide a resource for improving null models in computational biology.

Main Methods:

  • Utilized an expansion-randomization dynamics approach for efficient sequence generation.

Related Experiment Videos

  • Developed the CorGen web server to measure DNA base composition correlations.
  • Implemented the server to generate correlated random sequences based on measured parameters.

    • Main Results:

    • CorGen successfully measures long-range correlations in DNA base composition.
    • The server generates random sequences that preserve these specific correlation parameters.
    • Demonstrated the utility of incorporating these correlations into computational biology models.

    Conclusions:

    • Long-range DNA correlations are a key feature of eukaryotic genomes.
    • Accurate null models in computational biology must account for these correlations.
    • The CorGen server provides a valuable tool for generating biologically relevant random DNA sequences.