MiGA

MiGA detects microsatellite loci in genomic data and summarizes their distribution to support genetic analyses such as paternity analyses, genetic map construction, and linkage studies related to human diseases.

Key Features:

• Exhaustive rapid detection algorithm: Employs an exhaustive and rapid algorithm to identify all microsatellite loci across large genomic datasets.
• Comprehensive summary statistics: Computes quantitative and qualitative summary statistics describing microsatellite presence, distribution, and characteristics within genomic data.
• Downstream analysis support: Facilitates selection of specific microsatellite loci for primer design and enables comparative genome analysis.

Scientific Applications:

• Paternity analyses: Detection and profiling of microsatellite loci for parentage testing.
• Genetic map construction: Identification of polymorphic microsatellites for linkage marker development and genetic mapping.
• Linkage studies related to human diseases: Detection of microsatellite markers for linkage analysis in disease studies.
• Primer design: Selection of specific microsatellite loci as targets for primer design in downstream genetic assays.
• Comparative genome analysis: Comparative identification and analysis of microsatellite loci across genomes.

Methodology:

Uses an exhaustive and rapid algorithm to detect microsatellite loci in genomic sequences and computes summary statistics describing microsatellite presence and characteristics.