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Computational Methods for SNPs and Haplotype Inference

DIMACS/RECOMB Satellite Workshop, Piscataway, NJ, USA, November 21-22, 2002, Revised Papers

  • Conference proceedings
  • © 2004

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Editors:
  1. Sorin Istrail

    1. Center for Molecular Biology and Computer Sciecne Department, Brown University, Providence, USA

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  2. Michael Waterman

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Andrew Clark

    1. Information Security Institute, Queensland University of Technology, Brisbane, Australia

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

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: RSNPsH 2002.

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About this book

This book constitutes the post-proceedings of the DIMACS/RECOMB Satellite Workshop on Computational Methods for SNPs and Haplotype Inference held in Piscataway, NJ, USA, in November 2002.

The book presents ten revised full papers as well as abstracts of the remaining workshop papers. All relevant current issues in computational methods for SNP and haplotype analysis and their applications to disease associations are addressed.

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Keywords

Table of contents (32 papers)

  1. Front Matter

    Download chapter PDF

  2. Trisomic Phase Inference

    1. Trisomic Phase Inference

      • Andrew G. Clark, Emmanouil T. Dermitzakis, Stylianos E. Antonarakis
      Pages 1-8

    2. An Overview of Combinatorial Methods for Haplotype Inference

      • Dan Gusfield
      Pages 9-25

    3. A Survey of Computational Methods for Determining Haplotypes

      • Bjarni V. Halldórsson, Vineet Bafna, Nathan Edwards, Ross Lippert, Shibu Yooseph, Sorin Istrail
      Pages 26-47

    4. Haplotype Inference and Its Application in Linkage Disequilibrium Mapping

      • Tianhua Niu, Xin Lu, Hosung Kang, Zhaohui S. Qin, Jun S. Liu
      Pages 48-61

    5. Inferring Piecewise Ancestral History from Haploid Sequences

      • Russell Schwartz, Andrew G. Clark, Sorin Istrail
      Pages 62-73

    6. Haplotype Blocks in Small Populations

      • E. A. Thompson, N. H. Chapman
      Pages 74-83

    7. Simulating a Coalescent Process with Recombination and Ascertainment

      • Ying Wang, Bruce Rannala
      Pages 84-95

    8. Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data

      • Kui Zhang, Ting Chen, Michael S. Waterman, Zhaohui S. Qin, Jun S. Liu, Fengzhu Sun
      Pages 96-112

    9. Parametric Bootstrap for Assessment of Goodness of Fit of Models for Block Haplotype Structure

      • Maoxia Zheng, Mary Sara McPeek
      Pages 113-123

    10. A Coalescent-Based Approach for Complex Disease Mapping

      • Sebastian Zöllner, Jonathan K. Pritchard
      Pages 124-130

  3. Abstracts

    1. Haplotyping as Perfect Phylogeny

      • Vineet Bafna, Dan Gusfield, Giuseppe Lancia, Shibu Yooseph
      Pages 131-131

    2. Exhaustive Enumeration and Bayesian Phase Inference

      • Andrew Clark
      Pages 132-132

    3. How Does Choice of Polymorphism Influence Estimation of LD and Mapping?

      • Nancy Cox
      Pages 133-133

    4. Haplotype Inference in Random Population Samples

      • David Cutler
      Pages 134-134

    5. Bayesian Methods for Statistical Reconstruction of Haplotypes

      • Peter Donnelly
      Pages 135-135

    6. Combinatorial Approaches to Haplotype Inference

      • Dan Gusfield
      Pages 136-136

    7. Large Scale Recovery of Haplotypes from Genotype Data Using Imperfect Phylogeny

      • Eran Halperin
      Pages 137-137

    8. Haplotype Inference and Haplotype Information

      • Jun Liu
      Pages 138-138

    9. Multi-locus Linkage Disequilibrium and Haplotype-Based Tests of Association

      • Dahlia Nielsen
      Pages 139-139
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Other volumes

  1. Computational Methods for SNPs and Haplotype Inference

Editors and Affiliations

  • Center for Molecular Biology and Computer Sciecne Department, Brown University, Providence, USA

    Sorin Istrail

  • Program in Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, USA

    Michael Waterman

  • Information Security Institute, Queensland University of Technology, Brisbane, Australia

    Andrew Clark

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