Heu-MCHC 1.0.2 – Heuristic Algorithm for the Haplotype Inference problem on Pedigree data with recombinations and mutations

Heu-MCHC 1.0.2

:: DESCRIPTION

Heu-MCHC is a fast and accurate heuristic for the Minimum-Change Haplotype Configuration (MCHC) problem, i.e. a combinatorial formulation of the haplotype inference problem on pedigree data where the total number of recombinations and point mutations has to be minimized.

::DEVELOPER

AlgoLab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 Heu-MCHC 

:: MORE INFORMATION

Citation

Yuri Pirola, Paola Bonizzoni, and Tao Jiang.
An Efficient Algorithm for Haplotype Inference on Pedigrees with Recombinations and Mutations.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 9 , Issue: 1 Page(s): 12 – 25 (2011).