EXPLoRA

EXPLoRA identifies genomic regions associated with phenotypic traits from bulk segregant analysis (BSA) by exploiting linkage disequilibrium to increase the power and accuracy of quantitative trait loci (QTL) detection.

Key Features:

• Integration of linkage disequilibrium: Implements a previously developed algorithm that exploits linkage disequilibrium to refine QTL identification in BSA datasets.
• High-throughput sequencing support: Integrates high-throughput sequencing data as input for mapping allele frequency differences between bulks.
• Versatile data handling: Supports widely used data formats for BSA datasets to facilitate integration with existing workflows.
• Comprehensive output options: Produces graphical results and standard file outputs such as BED and text files for downstream analysis.
• Parallel processing capabilities: Enables parallel evaluation of multiple parameter configurations to accelerate analysis.

Scientific Applications:

• Genetics: Enables identification of QTLs underlying phenotypic variation in segregating populations.
• Genomics: Facilitates mapping of trait-associated genomic regions using sequencing-based BSA datasets for downstream genomic analyses.
• Industrial research: Supports identification of genomic regions linked to phenotypes relevant to industrial research and applied selection.

Methodology:

Applies a previously developed algorithm that exploits linkage disequilibrium and integrates high-throughput sequencing data with statistical models accounting for linkage disequilibrium, and supports parallel evaluation of parameter configurations.