Sniffles

Sniffles detects structural variations from single-molecule long-read (third-generation) sequencing data to identify deletions, insertions, duplications, inversions, and translocations with high sensitivity and precision.

Key Features:

• High Sensitivity and Precision: Identifies structural variants with high accuracy, including variants in repeat-rich regions and complex nested events.
• Long-Read Sequencing Compatibility: Tailored for single-molecule long-read sequencing data to leverage longer read lengths for comprehensive variant detection.
• Error Management: Implements filtering approaches to distinguish true structural variants from sequencing-induced false positives associated with long-read error rates.
• Low-Coverage Data Utilization: Operates effectively on low-coverage datasets to enable variant discovery when sequencing depth is limited.

Scientific Applications:

• Variant Discovery in Human Genomes: Enables detection of thousands of novel structural variants across healthy and cancerous human genomes.
• Characterization of Short-Read Systematic Errors: Helps categorize systematic errors inherent to short-read sequencing approaches by providing an independent long-read perspective.
• Genomic Research and Clinical Genomics: Supports basic genomics studies and precision medicine efforts by improving structural variant detection relevant to disease progression and treatment responses.

Methodology:

Analyzes long-read sequencing data aligned using NGMLR (Next Generation Mapping with Long Reads).