ADMIXPIPE

ADMIXPIPE automates preprocessing, SNP filtering, and result summarization for ADMIXTURE-based inference of population structure from VCF datasets, including reduced-representation sequencing data such as ddRAD.

Key Features:

• VCF parsing and filtering: Parses Variant Call Format (VCF) files and applies filters to prepare genotype data for downstream analyses.
• SNP filtering: Implements single nucleotide polymorphism (SNP) filtering to select loci appropriate for population-structure inference.
• ADMIXTURE integration: Runs ADMIXTURE (maximum-likelihood framework) analyses, including replicated runs.
• Optimal K inference: Infers the optimal number of population clusters (K) from replicated ADMIXTURE runs.
• CLUMPAK integration: Summarizes and provides graphical representation of ADMIXTURE run variation via CLUMPAK integration.
• Parallel processing: Supports parallel execution to improve efficiency on large population genomic datasets.
• Support for reduced-representation data: Tailored to handle datasets generated by protocols such as double digest RAD (ddRAD).

Scientific Applications:

• Population structure inference: Infers genetic population structure using ADMIXTURE-based analyses.
• Analyses of non-model organisms: Processes genomic data from organisms lacking complete reference genomes, including ddRAD-derived datasets.
• Admixture pattern characterization: Identifies and summarizes admixture patterns across replicated analyses to aid selection of K.
• Genetic diversity and evolutionary relationships: Supports studies of genetic diversity and evolutionary relationships within and among populations.
• Large-scale population genomics: Enables processing and analysis of large population genomic datasets through parallelization.

Methodology:

Parses and filters VCF files and SNPs, executes replicated ADMIXTURE (maximum-likelihood) runs, infers optimal K from replicates, and summarizes results with CLUMPAK while supporting parallel execution.