APAV

APAV integrates gene element-level presence-absence variation (PAV) analysis and provides PAV analysis for arbitrary given regions in a genome.

Key Features:

• Element-level PAV analysis: Detects small mutations within gene regions that gene-level PAV analysis misses, and analyzes variations in intergenic regions.
• Arbitrary region PAV analysis: Provides PAV analysis for any user-specified genomic regions.
• Interactive HTML reports: Enables interactive visualization and investigation of PAV profiles with verification of sequencing read depth, target region coverage, and intervals of absence for each PAV.
• Subsequent analysis functions: Includes basic statistics, sample clustering, genome size estimation, and phenotype association analysis based on the PAV profile table.

Scientific Applications:

• Phenotype-genotype association studies: Element-level PAV analysis uncovers more variations and reveals approximately three times as many phenotype-related genes as gene-level analysis, as demonstrated in tumor genome analysis.
• Distributed gene identification: Identified over twenty thousand distributed genes and more than fifty thousand distributed genetic elements in rice genome analysis.
• Pangenome analysis of tumor genomes: Demonstrated capability for comprehensive PAV analysis in cancer genomics.
• Pangenome analysis of rice genomes: Demonstrated capability for comprehensive PAV analysis in plant genomics.

Methodology:

APAV performs PAV analysis at the element level by altering the PAV unit from genes to smaller segments or elements; specific algorithmic details are not explicitly stated in the sources.