CNVEM 0.710
:: DESCRIPTION
CNVEM is a Bayesian Expectation-Maximization algorithm that infers carrier status of CNVs in large samples from SNP genotyping data, such as are available in genome-wide association studies. Using Bayesian computations the program calculates the posterior probability for carrier status of known CNV in each individual of a sample by jointly analyzing genotype information and hybridization intensity. Signal intensity is modeled as a mixture of normal distributions, allowing for locus-specific and allele-specific distributions. Using an expectation maximization algorithm, these distributions are estimated and then used to infer the carrier status of each individual the boundaries of the CNV.
::DEVELOPER
Sebastian Zöllner @ the Center for Statistical Genetics
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Windows / MacOsX
- C Complier
:: DOWNLOAD
:: MORE INFORMATION
If you use CNVEM please e-mail szoellne@umich.edu or fill out the registration form.