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Related Experiment Videos

Mapdiff: determining differences between two genomic maps

P M Nadkarni1

  • 1Center for Medical Informatics, Yale University School of Medicine, New Haven, CT 06510, USA. Prakash.Nadkarni@Yale.edu

Computer Applications in the Biosciences : CABIOS
|June 1, 1997
PubMed
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Mapdiff is a new program that compares chromosome maps, aiding lab research and version control. It uses a greedy algorithm to identify differences between shared objects in independently derived or revised maps.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Comparing chromosome maps from different methodologies is crucial for guiding research and version control.
  • Automated comparison tools are needed to efficiently identify discrepancies between genetic maps.
  • Mapdiff offers a solution for comparing independently derived or revised chromosome maps.

Purpose of the Study:

  • To introduce Mapdiff, a novel computational tool for comparing chromosome maps.
  • To demonstrate the utility of Mapdiff in analyzing genetic map data.
  • To provide a resource for researchers working with multiple versions of genetic maps.

Main Methods:

  • Mapdiff employs a greedy algorithm to detect differences between shared objects in two maps.
  • The program is designed to compare independently derived maps or revisions of the same map.

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  • Its effectiveness is enhanced by the proportion of shared objects between the compared maps.

    • Main Results:

    • Mapdiff's application was illustrated by comparing human chromosome 12 STS-content and radiation hybrid maps.
    • The study highlights Mapdiff's capability in identifying differences in publicly available genetic map data.
    • The comparison of human chromosome 12 maps serves as a practical example of Mapdiff's functionality.

    Conclusions:

    • Mapdiff provides a valuable computational approach for describing differences between chromosome maps.
    • The tool assists in laboratory research and facilitates version control for genetic mapping data.
    • Mapdiff is freely available, promoting its adoption in the scientific community.