dical

dical (dical2) infers complex demographic histories from genome-scale DNA sequence data by modeling population size changes, splits, admixture, migration, and gene flow using whole-genome sequencing from multiple populations.

Key Features:

• Model Complexity: Supports complex demographic models that include population size changes, splits, admixture, and migration.
• Computational Scalability: Processes large-scale genomic datasets, including whole-genome sequencing data, for multiple populations.
• Flexibility: Accommodates simultaneous analysis of multiple populations to model interactions and gene flow.

Scientific Applications:

• Population genetics and evolutionary biology: Applied to genome-scale data to infer demographic histories and evolutionary events across populations.
• Human population history reconstruction: Analyses of Australian, East Asian, European, and Papuan genomes inferred that the ancestral Australians and Papuans began diverging from East Asians and Europeans approximately 100,000 years ago, that East Asian and European separation commenced around 50,000 years ago, and that gene flow among these groups continued.

Methodology:

Performs statistical analysis of genome-scale DNA sequence data and constructs demographic models from whole-genome sequencing of multiple populations to infer splits, admixture, and gene flow.