DiscoSNP

DiscoSNP detects single nucleotide polymorphisms (SNPs) directly from raw next-generation sequencing (NGS) reads without requiring a reference genome, enabling variant discovery in non-model organisms.

Key Features:

• Reference-free SNP detection: Detects heterozygous and homozygous isolated SNPs directly from raw NGS reads across multiple datasets simultaneously without a reference genome.
• Efficiency in resource utilization: Processes billions of reads with low memory and time requirements, enabling analysis on standard desktop computing hardware.
• Quality and coverage metrics: Provides a ranking system for SNP predictions and reports per-allele quality scores and coverage information.
• Precision and recall: Demonstrates high precision and recall in SNP detection; in de novo sequencing of the tick Ixodes ricinus, 96% of predicted SNPs were genotyped and confirmed as true polymorphisms.

Scientific Applications:

• Non-model organism genomics: Enables variant discovery and SNP calling in species lacking reference genomes.
• Evolutionary biology: Facilitates detection of SNPs for analyses of genetic variation and divergence.
• Population genetics: Supports genotyping and allele frequency estimation from NGS data without a reference.
• Biodiversity assessments: Allows SNP discovery across diverse species for population- and species-level studies.

Methodology:

Identifies SNPs directly from raw NGS reads using a reference-free strategy applied across multiple datasets and outputs ranked SNP predictions with per-allele quality scores and coverage information.