Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/640075.640086acmconferencesArticle/Chapter ViewAbstractPublication PagesrecombConference Proceedingsconference-collections
Article

Haplotype phase inference

Published: 10 April 2003 Publication History
  • Get Citation Alerts
  • Abstract

    Most of the information being collected on DNA variation among people does not identify which of the two parents transmitted which of the two copies of each gene. Even worse, the parent of origin is often scrambled for each single nucleotide polymorphism (SNP) that is identified, so that each gene may be represented by hundreds of pairs of SNP vectors or haplotypes. Collection of a population sample of this kind of genotype data, however, does contain information about these haplotypes, and inference of the haplotype pairs from this kind of data is referred to has haplotype phase inference. The problem has a rich geometric representation, and has spawned a wealth of algorithms that span graph theoretic to Bayesian approaches. Good solutions to this problem are strongly motivated by the efforts seeking to identify genes that underlie complex genetic disorders. The latest efforts in this area will be described and reviewed.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    RECOMB '03: Proceedings of the seventh annual international conference on Research in computational molecular biology
    April 2003
    352 pages
    ISBN:1581136358
    DOI:10.1145/640075
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 April 2003

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Article

    Conference

    RECOMB03
    Sponsor:

    Acceptance Rates

    RECOMB '03 Paper Acceptance Rate 35 of 175 submissions, 20%;
    Overall Acceptance Rate 148 of 538 submissions, 28%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 799
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 07 Aug 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media