ClipSV

ClipSV detects and characterizes structural variations (SVs) from next‑generation sequencing (NGS) short‑read data, enabling identification of insertions, deletions, small indels (5 to 50 base pairs) and larger structural variants (≥50 base pairs).

Key Features:

• Read extension and spliced alignment: Extends NGS short reads and applies spliced alignment to reconstruct longer sequences from SV-associated short reads.
• Tree-based decision rules: Uses tree-based decision rules to prioritize and utilize SV-containing reads for more accurate insertion characterization.
• Detection capabilities: Detects small indels (5 to 50 base pairs) and larger structural variations (≥50 base pairs) from NGS data.

Scientific Applications:

• Human genome SV detection: Identification and characterization of structural variations in human genomic studies using NGS short reads.
• Insertion reconstruction: Improved detection and reconstruction of insertions from short-read data via read extension and decision rules.
• Benchmarking and validation: Performance evaluation using simulated and real sequencing data to assess sensitivity and accuracy in SV detection.

Methodology:

ClipSV applies read extension, spliced alignment, and tree-based decision rules to utilize SV-containing reads and reconstruct longer sequences from NGS short reads.