36. Haplotype Inference Models and Algorithms

  1. Mourad Elloumi2 and
  2. Albert Y. Zomaya3
  1. Ling-Yun Wu

Published Online: 23 DEC 2010

DOI: 10.1002/9780470892107.ch36

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

How to Cite

Wu, L.-Y. (2011) Haplotype Inference Models and Algorithms, in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (eds M. Elloumi and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470892107.ch36

Editor Information

  1. 2

    Unit of Technologies of Information and Communication (UTIC) and University of Tunis-El Manar, Tunisia

  2. 3

    School of Information Technologies, The University of Sydney, Australia

Author Information

  1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

Publication History

  1. Published Online: 23 DEC 2010
  2. Published Print: 18 JAN 2011

ISBN Information

Print ISBN: 9780470505199

Online ISBN: 9780470892107

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Keywords:

  • haplotype inference models and algorithms - haplotype, set of neighboring SNPs (or other genetic markers) transmitted together on same chromosome;
  • statistical models for haplotype inference - underlying unknown haplotype distribution frequencies in population, assuming Hardy–Weinber equilibrium (HWE);
  • haplotype inference problem and method progress - genotype data, haplotype inference methods, and population-based and pedigree-based

Summary

This chapter contains sections titled:

  • Introduction

  • Problem Statement and Notations

  • Combinatorial Methods

  • Statistical Methods

  • Pedigree Methods

  • Evaluation

  • Discussion

  • References