MultiMap

MultiMap constructs high-resolution genetic linkage and radiation hybrid maps from genotyped markers to support linkage analysis and positional cloning.


Key Features:

  • Automation: Automates the stepwise construction of genetic maps to reduce manual intervention in repetitive mapping tasks.
  • Expert system architecture: Implements expert-system decision logic to guide automated map construction.
  • Novel algorithm: Employs a map-construction algorithm intended to improve efficiency and accuracy in ordering markers.
  • Scalable data processing: Designed to integrate and process large marker datasets for map assembly.
  • Customizable marker parameters: Allows control of marker-locus characteristics including informativeness, scorability, and proximity to nearest neighbors.

Scientific Applications:

  • CEPH linkage mapping: Applied to large-scale linkage mapping of markers genotyped in CEPH reference pedigrees.
  • Radiation hybrid mapping: Adapted for automated construction of radiation hybrid maps.
  • High-resolution human maps: Demonstrated construction of human genetic maps with average resolution of 6 centiMorgans (cM) using published genotypes from 1,266 microsatellite markers.
  • Map extension with VNTRs and genes: Extended linkage maps by incorporating 397 variable number tandem repeat (VNTR) and polymorphic gene markers.
  • Positional cloning support: Facilitates generation of high-resolution maps used in positional cloning of disease genes.

Methodology:

Automated map construction using a novel algorithm that integrates user-defined marker-locus parameters (informativeness, scorability, nearest-neighbor proximity) to assemble linkage and radiation hybrid maps.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Added:
8/3/2017
Last Updated:
11/24/2024

Operations

Publications

Matise TC, Perlin M, Chakravarti A. Automated construction of genetic linkage maps using an expert system (MultiMap): a human genome linkage map. Nature Genetics. 1994;6(4):384-390. doi:10.1038/ng0494-384. PMID:8054979.

Documentation

Links