Literature DB >> 8825644

Management of evolving map data: data structures and algorithms based on the framework map.

P M Nadkarni1.   

Abstract

A consensus framework map of a chromosome is the single most useful map of the chromosome, because of the amount of information it holds as well as the quality of the supporting data backing the putative order of its objects. We describe data structures and algorithms to assist in framework map maintenance and to answer queries about order and distance on genomic objects. We show how these algorithms are efficiently implemented in a client-server relational database. We believe that our data structures are particularly suitable for databases to support collaborative mapping efforts that use heterogeneous methodologies. We summarize two applications that use these algorithms: CHROMINFO, a database specifically designed for framework map maintenance; and the shared client-server database for the chromosome 12 genome center.

Mesh:

Year:  1995        PMID: 8825644     DOI: 10.1006/geno.1995.1278

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  1 in total

1.  QIS: A framework for biomedical database federation.

Authors:  Luis Marenco; Tzuu-Yi Wang; Gordon Shepherd; Perry L Miller; Prakash Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2004-08-06       Impact factor: 4.497

  1 in total

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