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wuHMM (Washington University Hidden Markov Model) is a tool for copy number variation (CNV) detection. It uses data from comparative genomic hybridization (aCGH). Also, the wuHMM algorithm can assign CNV regions into discrete genotypes.


Genetics; Genetic variation


  • Operation: Genetic variation analysis
  • Software interface: Command-line user interface
  • Language: R;Python
  • Operating system: Linux; Mac OS X
  • License: Not stated
  • Cost: Free
  • Version name: -
  • Credit: The National Cancer Institute, the National Human Genome Research Institute,the Barnes-Jewish Hospital Foundation and the Lewis T. and Rosalind B. Apple Chair in Oncology.
  • Contact: Timothy A. Graubert graubert _at_
  • Collection: -


Patrick Cahan, Laura E. Godfrey, Peggy S. Eis, Todd A. Richmond, Rebecca R. Selzer, Michael Brent, Howard L. McLeod, Timothy J. Ley, Timothy A. Graubert "wuHMM: a robust algorithm to detect DNA copy number variation using long oligonucleotide microarray data" Nucleic Acids Research, Volume 36, Issue 7, 1 April 2008, Page e41
PMID: 18334530
PMCID: PMC2367727

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