PopIns

PopIns detects and characterizes non-reference genomic insertions from short-read sequencing data across multiple individuals at population scale.

Key Features:

• Population-Scale Analysis: Leverages reads from multiple individuals to increase power and accuracy for detecting novel insertions compared to single-individual analyses.
• De Novo Assembly Integration: Performs de novo assembly of unaligned reads using standard assembly tools to reconstruct inserted sequences that lack similarity to the reference genome.
• Contig Merging: Merges contigs from different individuals into high-confidence sequences to improve the quality and reliability of predicted insertions.
• Genomic Anchoring and Genotyping: Anchors merged sequences to the reference genome for precise localization and genotypes all individuals for the discovered insertions.
• Performance Metrics: Demonstrates superior recall and precision on simulated data compared to other tools such as MindTheGap.

Scientific Applications:

• Population genetics: Identifies non-reference insertions across cohorts to support population-level analyses of structural variation.
• Genetic diversity studies: Characterizes novel insertions to inform assessments of genetic diversity within and between populations.
• Evolutionary biology: Provides data on novel insertions that can be used to study evolutionary processes and lineage-specific sequence gains.
• Disease mechanism investigations: Enables discovery of insertions that may contribute to or modulate disease-related genetic variation.

Methodology:

Uses reads-to-reference alignment as input, extracts unaligned reads for de novo assembly with standard assembly tools, merges contigs across individuals into high-confidence sequences, anchors those sequences to the reference genome, and performs genotyping of all individuals for the identified insertions.