Dec 042013
 

GPHMM 1.3

:: DESCRIPTION

GPHMM (Global Parameter Hidden Markov Model) is a novel statistical method dedicated to identify copy number alteration and loss of heterozygosity (LOH) in tumor samples using whole genome SNP arrays.

::DEVELOPER

HI_Lab @ USTC

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/MacOsX/Linux
  • Matlab

:: DOWNLOAD

 GPHMM

:: MORE INFORMATION

Citation

GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays.
Li A, Liu Z, Lezon-Geyda K, Sarkar S, Lannin D, Schulz V, Krop I, Winer E, Harris L, Tuck D.
Nucleic Acids Res. 2011 Jul;39(12):4928-41. doi: 10.1093/nar/gkr014.

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