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An Overview of Combinatorial Methods for Haplotype Inference

  • Conference paper
Computational Methods for SNPs and Haplotype Inference (RSNPsH 2002)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 2983))

Abstract

A current high-priority phase of human genomics involves the development of a full Haplotype Map of the human genome [23]. It will be used in large-scale screens of populations to associate specific haplotypes with specific complex genetic-influenced diseases. A key, perhaps bottleneck, problem is to computationally infer haplotype pairs from genotype data. This paper follows the talk given at the DIMACS Conference on SNPs and Haplotypes held in November of 2002. It reviews several combinatorial approaches to the haplotype inference problem that we have investigated over the last several years. In addition, it updates some of the work presented earlier, and discusses the current state of our work.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of California, Davis, Davis, CA, 95616, USA

    Dan Gusfield

Authors
  1. Dan Gusfield
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Editor information

Editors and Affiliations

  1. Center for Molecular Biology and Computer Sciecne Department, Brown University, 115 Waterman St., RI 02912, Providence, USA

    Sorin Istrail

  2. Program in Computational Biology, Department of Biological Sciences, University of Southern California, 90089, Los Angeles, CA, USA

    Michael Waterman

  3. Information Security Institute, Queensland University of Technology, QLD 4001, Brisbane, Australia

    Andrew Clark

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© 2004 Springer-Verlag Berlin Heidelberg

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Gusfield, D. (2004). An Overview of Combinatorial Methods for Haplotype Inference. In: Istrail, S., Waterman, M., Clark, A. (eds) Computational Methods for SNPs and Haplotype Inference. RSNPsH 2002. Lecture Notes in Computer Science(), vol 2983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24719-7_2

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  • DOI: https://doi.org/10.1007/978-3-540-24719-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21249-2

  • Online ISBN: 978-3-540-24719-7

  • eBook Packages: Springer Book Archive

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