() and () QuantiSNP is able to detect as many as 3–4 SNPs in simulated 5 SNP aberration region but only if we accept false calls rates of around 10 in 100 000 SNPs

<p><b>Copyright information:</b></p><p>Taken from "QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data"</p><p></p><p>Nucleic Acids Research 2007;35(6):2013-2025.</p><p>Published online 6 Mar 2007</p><p>PMCID:PMC1874617.</p><p>© 2007 The Author(s)</p> However, in () and (), when the length of the event increases to 10 SNPs, QuantiSNP successfully detects nearly all affected SNPs in the deletion and duplication events even at very stringent false call rates of less than 1 in 100 000 SNPs. In all cases, the localization of the true boundary is good, with less than one extra SNP called outside of the true aberrant region