QTLViewer

QTLViewer performs QTL mapping and visualization for Collaborative Cross (CC) and Diversity Outbred (DO) mouse populations to identify quantitative trait loci regulating physiological and molecular traits.

Key Features:

• Supported Populations: Analysis targets the Collaborative Cross (CC) and Diversity Outbred (DO) multiparental mouse populations.
• Founder Strains: Works with populations derived from eight isogenic founder strains.
• Genetic Variation: Leverages over 50 million known genetic variants present in these populations.
• QTL Mapping: Maps quantitative trait loci (QTLs) that regulate physiological and molecular traits.
• Analysis Engine: Performs analyses using the R/qtl2 package.
• Visualization: Produces visualizations of QTL mapping results and related analyses generated by R/qtl2.
• Study Repository: Serves as a repository for published studies involving the Collaborative Cross and Diversity Outbred populations.

Scientific Applications:

• QTL Discovery: Identification of QTLs underlying physiological and molecular phenotypes in CC and DO populations.
• Genetic Architecture: Investigation of the genetic regulation and architecture of complex traits in multiparental mouse populations.
• Data Reuse and Comparison: Aggregation of published CC and DO studies to support reuse and comparative analyses across studies.

Methodology:

QTL mapping and related analyses are performed using the R/qtl2 package.