Revision as of 16:01, 25 March 2009 by Marcvandriel
Genetic association analyses are often compromised by missing genotypic data. However several imputation methods are available to overcome this in some way. Below an overview of some of the imputation methods that are published.
|Imputation||MACH||MACH 1.0 is a Markov Chain based haplotyper. It can resolve long haplotypes or infer missing genotypes in samples of unrelated individuals.||None|
|Imputation||fastPHASE||The program fastPHASE implements methods for estimating haplotypes and missing genotypes from population SNP genotype data.||None|
|Imputation||IMPUTE||IMPUTE is a program for imputing unobserved genotypes in genome-wide case-control studies based on a set of known haplotypes (like the HapMap Phase II haplotypes).||None|
|Imputation||PLINK||PLINK is a free, open-source whole genome association analysis toolset, designed to perform a range of basic, large-scale analyses in a computationally efficient manner.||None|
|Imputation||Beagle||BEAGLE is a state of the art software package for analysis of large-scale genetic data sets with hundreds of thousands of markers genotyped on thousands of samples.||None|