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Algorithms for a location database.

N E Morton1, A Collins, S Lawrence

  • 1CRC Research Group in Genetic Epidemiology, University of Southampton, U.K.

Annals of Human Genetics
|July 1, 1992
PubMed
Summary
This summary is machine-generated.

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This study introduces algorithms for the ldb location database, integrating genetic and physical maps into a composite map. These tools enable researchers to create accurate Mb-scale composite locations from partial genetic maps.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Accurate genetic and physical mapping is crucial for understanding genome organization.
  • Integrating diverse mapping data presents a significant computational challenge.

Purpose of the Study:

  • To describe the algorithms powering the ldb location database.
  • To provide a method for creating integrated composite maps from various genetic and physical mapping data.
  • To facilitate the production of standardized Mb-scale composite locations for genetic analysis.

Main Methods:

  • Development of algorithms in Fortran for portability on SUN SPARCStation under Unix.
  • Implementation of a combination of rule-based seriation and minimum deviance bootstrap algorithms.
  • Data capture and integration from multiple genetic and physical map sources.

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Main Results:

  • Successful creation of a system capable of generating a summary map by combining disparate data.
  • Development of algorithms that allow for the integration of partial maps into a composite map.
  • The system produces composite locations in Mb, facilitating standardized genetic mapping.

Conclusions:

  • The described algorithms and the ldb location database provide a robust solution for integrating genetic and physical mapping data.
  • The developed program and manual are available to investigators and chromosome committees, promoting wider adoption.
  • This approach enhances the ability to establish precise genomic locations and integrate mapping efforts.