CpGcluster 2.0 – CpG-island Detection

CpGcluster 2.0

:: DESCRIPTION

CpGcluster is a distance-based algorithm for CpG-island detection.CpGcluster uses only integer arithmetic, thus being a fast and computationally efficient algorithm able to predict statistically significant clusters of CpG dinucleotides. Another outstanding feature is that all predicted CGIs start and end with a CpG dinucleotide, which should be appropriate for a genomic feature whose functionality is based precisely on CpG dinucleotides.

::DEVELOPER

The group of computational genomics and bioinformatics at Granada University (Spain)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX/Windows
  • Perl

:: DOWNLOAD

  CpGcluster

:: MORE INFORMATION

Citation

Michael Hackenberg, Christopher Previti, Pedro L Luque-Escamilla, Pedro Carpena, José Martínez-Aroza and José L Oliver
CpGcluster: A distance-based algorithm for CpG-island detection
BMC Bioinformatics 7: 446, 2006