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
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 https://doi.org/10.1093/nar/gkn110
PMID: 18334530
PMCID: PMC2367727
If you find errors, please report here.
SECTIONS
TutorialsFind thousands of Bioinformatics and Life Science software tools and databases in the newly launched
Ads