Projects / HapCluster++

HapCluster++

HapCluster++ is a software package for linkage disequilibrium mapping using coalescent theory. It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. HapCluster++ is a C++ implementation of the method described in the paper "Fine Mapping of Disease Genes via Haplotype Clustering" by E.R.B. Waldron, J.C. Whitaker, and D.J. Balding. Genetic Epidemiology. 30: 170–179. (2006).

Tags
Operating Systems
Implementation

RSS Recent releases

  •  14 Feb 2008 13:52

Release Notes: This version is a port to the SNPFile version 2.0 format.

  •  18 Oct 2007 14:00

Release Notes: This version adds an option for restricting the MCMC search to a sub-interval of the full data. This is especially useful for SNPFile data, where the regions can be very wide, but where convergence and mixing can be very poor.

  •  13 Aug 2007 04:54

Release Notes: This version changes the --additive option to --allelic (since this is more accurate) and documents the option in the man pages.

  •  12 Aug 2007 08:28

Release Notes: This version adds a new likelihood function for (near-)additive disease models, increasing the power for detecting association for such diseases.

  •  01 Aug 2007 04:00

Release Notes: This version enables sampling of genotypes of the disease status, writing these samples to a file in the form of a matrix. Missing phenotypes have also been added. Individuals with missing phenotype are clustered together with all other individuals, but they are not used in the likelihood calculation.

Screenshot

Project Spotlight

simat-conky

Air quality and UV levels from Mexico City in Conky.

Screenshot

Project Spotlight

web2ldap

A Web-based LDAP client written in Python.