GCHap: fast MLEs for haplotype frequencies by gene counting | Zendy

Alun Thomas | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

GCHap: fast MLEs for haplotype frequencies by gene counting

Author(s) -

Alun Thomas

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg254

Subject(s) - haplotype , java , sample (material) , computer science , sample space , statistics , maximum likelihood , implementation , genotype , biology , mathematics , gene , genetics , physics , programming language , thermodynamics

GCHap quickly finds maximum likelihood estimates (MLEs) of frequencies of haplotypes given genotype information on a random sample of individuals. It uses the gene counting method but by excluding haplotypes with zero MLE at an early stage, this implementation uses many orders of magnitude less space and time than naive implementations. A second program, ApproxGCHap, is provided to give alternate estimates for data sets with large numbers of loci or large amounts of missing genotypes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research